Category: Use Cases and Applications

The Use Cases and Applications category explores real-world scenarios where Geode excels, providing practical examples, implementation patterns, and architectural guidance for common graph database applications. From social networks to fraud detection, see how organizations leverage Geode to solve complex problems with connected data. <h3 id="why-graph-databases" class="position-relative d-flex align-items-center group"> Why Graph Databases? <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="why-graph-databases" aria-haspopup="dialog" aria-label="Share link: Why Graph Databases?"> Share link </button> </h3><div id="headingShareModal" class="heading-share-modal" role="dialog" aria-modal="true" aria-labelledby="headingShareTitle" hidden> <div class="hsm-dialog" role="document"> <div class="hsm-header"> <h2 id="headingShareTitle" class="h6 mb-0 fw-bold">Share this section</h2> <button type="button" class="hsm-close" aria-label="Close"> </button> </div> <div class="hsm-body"> <label for="headingShareInput" class="form-label small text-muted mb-1 text-uppercase fw-bold" style="font-size: 0.7rem; letter-spacing: 0.5px;">Permalink</label> <div class="input-group mb-4 hsm-url-group"> <input id="headingShareInput" type="text" class="form-control font-monospace" readonly aria-readonly="true" style="font-size: 0.85rem;" /> <button class="btn btn-primary hsm-copy" type="button" aria-label="Copy" title="Copy"> </button> </div> <div class="small fw-bold mb-2 text-muted text-uppercase" style="font-size: 0.7rem; letter-spacing: 0.5px;">Share via</div> <div class="hsm-share-grid"> <a id="share-twitter" class="btn btn-outline-secondary w-100" target="_blank" rel="noopener noreferrer"> Twitter </a> <a id="share-linkedin" class="btn btn-outline-secondary w-100" target="_blank" rel="noopener noreferrer"> LinkedIn </a> <a id="share-facebook" class="btn btn-outline-secondary w-100" target="_blank" rel="noopener noreferrer"> Facebook </a> </div> </div> </div> </div> <style> .heading-share-modal { position: fixed; inset: 0; display: flex; justify-content: center; align-items: center; background: rgba(0, 0, 0, 0.6); z-index: 1050; padding: 1rem; backdrop-filter: blur(4px); -webkit-backdrop-filter: blur(4px); } .heading-share-modal[hidden] { display: none !important; } .hsm-dialog { max-width: 420px; width: 100%; background: var(--bs-body-bg, #fff); color: var(--bs-body-color, #212529); border: 1px solid var(--bs-border-color, rgba(0,0,0,0.1)); border-radius: 1rem; box-shadow: 0 25px 50px -12px rgba(0, 0, 0, 0.25); overflow: hidden; animation: hsm-fade-in 0.2s ease-out; } @keyframes hsm-fade-in { from { opacity: 0; transform: scale(0.95); } to { opacity: 1; transform: scale(1); } } [data-bs-theme="dark"] .hsm-dialog { background: #1e293b; border-color: rgba(255,255,255,0.1); color: #f8f9fa; } .hsm-header { display: flex; justify-content: space-between; align-items: center; padding: 1rem 1.5rem; border-bottom: 1px solid var(--bs-border-color, rgba(0,0,0,0.1)); background: rgba(0,0,0,0.02); } [data-bs-theme="dark"] .hsm-header { background: rgba(255,255,255,0.02); border-color: rgba(255,255,255,0.1); } .hsm-close { background: transparent; border: none; color: inherit; opacity: 0.5; padding: 0.25rem 0.5rem; border-radius: 0.25rem; font-size: 1.2rem; line-height: 1; transition: opacity 0.2s; } .hsm-close:hover { opacity: 1; } .hsm-body { padding: 1.5rem; } .hsm-url-group { display: flex !important; align-items: stretch; } .hsm-url-group .form-control { flex: 1; min-width: 0; margin: 0; background: var(--bs-secondary-bg, #f8f9fa); border-color: var(--bs-border-color, #dee2e6); border-top-right-radius: 0; border-bottom-right-radius: 0; height: 42px; } .hsm-url-group .btn { flex: 0 0 auto; margin: 0; margin-left: -1px; border-top-left-radius: 0; border-bottom-left-radius: 0; height: 42px; display: flex; align-items: center; justify-content: center; padding: 0 1.25rem; z-index: 2; } [data-bs-theme="dark"] .hsm-url-group .form-control { background: #0f172a; border-color: #334155; color: #e2e8f0; } .hsm-share-grid { display: flex; flex-direction: column; gap: 0.5rem; } .hsm-share-grid .btn { display: flex; align-items: center; justify-content: center; font-size: 0.9rem; padding: 0.6rem; border-color: var(--bs-border-color); width: 100%; } [data-bs-theme="dark"] .hsm-share-grid .btn { color: #e2e8f0; border-color: #475569; } [data-bs-theme="dark"] .hsm-share-grid .btn:hover { background: #334155; border-color: #cbd5e1; } </style> <script> (function(){ const modal = document.getElementById('headingShareModal'); if(!modal) return; const input = modal.querySelector('#headingShareInput'); const copyBtn = modal.querySelector('.hsm-copy'); const twitter = modal.querySelector('#share-twitter'); const linkedin = modal.querySelector('#share-linkedin'); const facebook = modal.querySelector('#share-facebook'); const closeBtn = modal.querySelector('.hsm-close'); let lastFocus=null; let trapBound=false; function buildUrl(id){ return window.location.origin + window.location.pathname + '#' + id; } function isOpen(){ return !modal.hasAttribute('hidden'); } function hydrate(id){ const url=buildUrl(id); input.value=url; const enc=encodeURIComponent(url); const text=encodeURIComponent(document.title); if(twitter) twitter.href=`https://twitter.com/intent/tweet?url=${enc}&text=${text}`; if(linkedin) linkedin.href=`https://www.linkedin.com/sharing/share-offsite/?url=${enc}`; if(facebook) facebook.href=`https://www.facebook.com/sharer/sharer.php?u=${enc}`; } function openModal(id){ lastFocus=document.activeElement; hydrate(id); if(!isOpen()){ modal.removeAttribute('hidden'); } requestAnimationFrame(()=>{ input.focus(); }); trapFocus(); } function closeModal(){ if(!isOpen()) return; modal.setAttribute('hidden',''); if(lastFocus && typeof lastFocus.focus==='function') lastFocus.focus(); } function copyCurrent(){ try{ navigator.clipboard.writeText(input.value).then(()=>feedback(true),()=>fallback()); } catch(e){ fallback(); } } function fallback(){ input.select(); try{ document.execCommand('copy'); feedback(true);}catch(e){ feedback(false);} } function feedback(ok){ if(!copyBtn) return; const icon=copyBtn.querySelector('i'); if(!icon) return; const prev=copyBtn.getAttribute('data-prev')||icon.className; if(!copyBtn.getAttribute('data-prev')) copyBtn.setAttribute('data-prev',prev); icon.className= ok ? 'fa-duotone fa-clipboard-check':'fa-duotone fa-circle-exclamation'; setTimeout(()=>{ icon.className=prev; },1800); } function handleShareClick(e){ e.preventDefault(); const btn=e.currentTarget; const id=btn.getAttribute('data-share-target'); if(id) openModal(id); } function bindShareButtons(){ document.querySelectorAll('.h-share').forEach(btn=>{ if(!btn.dataset.hShareBound){ btn.addEventListener('click', handleShareClick); btn.dataset.hShareBound='1'; } }); } bindShareButtons(); if(document.readyState==='loading'){ document.addEventListener('DOMContentLoaded', bindShareButtons); } else { requestAnimationFrame(bindShareButtons); } document.addEventListener('click', function(e){ const shareBtn=e.target.closest && e.target.closest('.h-share'); if(shareBtn && !shareBtn.dataset.hShareBound){ handleShareClick.call(shareBtn, e); } }, true); document.addEventListener('click', e=>{ if(e.target===modal) closeModal(); if(e.target.closest && e.target.closest('.hsm-close')){ e.preventDefault(); closeModal(); } if(copyBtn && (e.target===copyBtn || (e.target.closest && e.target.closest('.hsm-copy')))) { e.preventDefault(); copyCurrent(); } }); document.addEventListener('keydown', e=>{ if(e.key==='Escape' && isOpen()) closeModal(); }); function trapFocus(){ if(trapBound) return; trapBound=true; modal.addEventListener('keydown', f=>{ if(f.key==='Tab' && isOpen()){ const focusable=[...modal.querySelectorAll('a[href],button,input,textarea,select,[tabindex]:not([tabindex="-1"])')].filter(el=>!el.hasAttribute('disabled')); if(!focusable.length) return; const first=focusable[0]; const last=focusable[focusable.length-1]; if(f.shiftKey && document.activeElement===first){ f.preventDefault(); last.focus(); } else if(!f.shiftKey && document.activeElement===last){ f.preventDefault(); first.focus(); } } }); } if(closeBtn) closeBtn.addEventListener('click', e=>{ e.preventDefault(); closeModal(); }); })(); </script>Traditional relational databases model data as tables with rows and columns, optimized for structured, tabular data. This works well for many applications but struggles with highly connected data where relationships are as important as entities themselves. Graph databases like Geode flip this paradigm: relationships are first-class citizens, making queries that traverse connections natural and performant. When relationships matter more than records, graphs excel. <h3 id="social-networks-and-collaboration" class="position-relative d-flex align-items-center group"> Social Networks and Collaboration <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="social-networks-and-collaboration" aria-haspopup="dialog" aria-label="Share link: Social Networks and Collaboration"> Share link </button> </h3>Social networks are the canonical graph database use case because they’re fundamentally about connections between people, content, and interactions. <h4 id="friend-networks" class="position-relative d-flex align-items-center group"> Friend Networks <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="friend-networks" aria-haspopup="dialog" aria-label="Share link: Friend Networks"> Share link </button> </h4>Model users and friendships: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Create users and friendships CREATE (alice:User {name: 'Alice', joined: DATE '2024-01-15'}) CREATE (bob:User {name: 'Bob', joined: DATE '2024-02-01'}) CREATE (alice)-[:FRIENDS_WITH {since: DATE '2024-02-15'}]->(bob) -- Find friends of friends (potential connections) MATCH (me:User {name: 'Alice'})-[:FRIENDS_WITH]->(friend) -[:FRIENDS_WITH]->(suggestion) WHERE NOT EXISTS { MATCH (me)-[:FRIENDS_WITH]->(suggestion) } AND suggestion <> me RETURN suggestion.name, COUNT(friend) AS mutual_friends ORDER BY mutual_friends DESC LIMIT 10 </code></pre></div> <h4 id="content-feeds" class="position-relative d-flex align-items-center group"> Content Feeds <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="content-feeds" aria-haspopup="dialog" aria-label="Share link: Content Feeds"> Share link </button> </h4>Personalized feeds based on social graph: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Show posts from friends and their interactions MATCH (me:User {id: $userId})-[:FOLLOWS]->(author:User) -[:POSTED]->(post:Post) WHERE post.created > current_timestamp() - INTERVAL '24' HOUR OPTIONAL MATCH (post)<-[:LIKED]-(liker:User) OPTIONAL MATCH (post)<-[:COMMENTED]-(commenter:User) RETURN post.content, author.name, post.created, COUNT(DISTINCT liker) AS likes, COUNT(DISTINCT commenter) AS comments ORDER BY post.created DESC LIMIT 50 </code></pre></div> <h4 id="community-detection" class="position-relative d-flex align-items-center group"> Community Detection <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="community-detection" aria-haspopup="dialog" aria-label="Share link: Community Detection"> Share link </button> </h4>Identify user communities and interests: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find users with similar interests MATCH (me:User {id: $userId})-[:INTERESTED_IN]->(topic:Topic) <-[:INTERESTED_IN]-(similar:User) WHERE similar <> me WITH similar, COUNT(topic) AS common_interests WHERE common_interests >= 3 RETURN similar.name, common_interests ORDER BY common_interests DESC </code></pre></div> <h3 id="fraud-detection-and-risk-management" class="position-relative d-flex align-items-center group"> Fraud Detection and Risk Management <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="fraud-detection-and-risk-management" aria-haspopup="dialog" aria-label="Share link: Fraud Detection and Risk Management"> Share link </button> </h3>Graph analysis reveals fraud patterns invisible in traditional databases by analyzing relationships and transaction flows. <h4 id="transaction-ring-detection" class="position-relative d-flex align-items-center group"> Transaction Ring Detection <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="transaction-ring-detection" aria-haspopup="dialog" aria-label="Share link: Transaction Ring Detection"> Share link </button> </h4>Identify circular money flows: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Detect transaction rings (money returning to source) MATCH path = (a:Account)-[:TRANSFER*2..5]->(a) WHERE ALL (r IN relationships(path) WHERE r.timestamp > current_timestamp() - INTERVAL '24' HOUR) RETURN path, [r IN relationships(path) | r.amount] AS amounts, REDUCE (total = 0, r IN relationships(path) | total + r.amount) AS total_amount ORDER BY total_amount DESC </code></pre></div> <h4 id="first-party-fraud" class="position-relative d-flex align-items-center group"> First-Party Fraud <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="first-party-fraud" aria-haspopup="dialog" aria-label="Share link: First-Party Fraud"> Share link </button> </h4>Detect customers with multiple accounts: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find shared identifiers across accounts MATCH (a1:Account)-[:HAS_EMAIL|HAS_PHONE|HAS_ADDRESS]->(identifier) <-[:HAS_EMAIL|HAS_PHONE|HAS_ADDRESS]-(a2:Account) WHERE a1.id < a2.id -- Avoid duplicates WITH a1, a2, COUNT(DISTINCT identifier) AS shared_identifiers WHERE shared_identifiers >= 2 RETURN a1.id, a2.id, shared_identifiers, COLLECT(identifier) AS common_identifiers </code></pre></div> <h4 id="velocity-checks" class="position-relative d-flex align-items-center group"> Velocity Checks <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="velocity-checks" aria-haspopup="dialog" aria-label="Share link: Velocity Checks"> Share link </button> </h4>Detect unusual activity patterns: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find accounts with unusual transaction velocity MATCH (a:Account)-[t:TRANSACTION]->() WHERE t.timestamp > current_timestamp() - INTERVAL '1' HOUR WITH a, COUNT(t) AS transaction_count, SUM(t.amount) AS total_amount WHERE transaction_count > a.avg_hourly_transactions * 5 OR total_amount > a.avg_hourly_amount * 10 RETURN a.id, transaction_count, total_amount, a.avg_hourly_transactions, a.avg_hourly_amount </code></pre></div> <h4 id="network-analysis-for-organized-fraud" class="position-relative d-flex align-items-center group"> Network Analysis for Organized Fraud <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="network-analysis-for-organized-fraud" aria-haspopup="dialog" aria-label="Share link: Network Analysis for Organized Fraud"> Share link </button> </h4>Identify coordinated fraud networks: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find densely connected suspicious accounts MATCH (a:Account) WHERE a.flagged = true MATCH (a)-[r:TRANSFER|SHARES_DEVICE|SHARES_IP]-(connected:Account) WITH connected, COUNT(DISTINCT a) AS suspicious_connections WHERE suspicious_connections >= 3 RETURN connected.id, suspicious_connections ORDER BY suspicious_connections DESC </code></pre></div> <h3 id="recommendation-engines" class="position-relative d-flex align-items-center group"> Recommendation Engines <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="recommendation-engines" aria-haspopup="dialog" aria-label="Share link: Recommendation Engines"> Share link </button> </h3>Graphs power sophisticated recommendations by analyzing patterns in user behavior, product attributes, and social connections. <h4 id="collaborative-filtering" class="position-relative d-flex align-items-center group"> Collaborative Filtering <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="collaborative-filtering" aria-haspopup="dialog" aria-label="Share link: Collaborative Filtering"> Share link </button> </h4>Recommend based on similar users’ preferences: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- "Users who liked what you liked also liked..." MATCH (me:User {id: $userId})-[:LIKED]->(item) <-[:LIKED]-(similar:User) -[:LIKED]->(recommendation) WHERE NOT EXISTS {MATCH (me)-[:LIKED]->(recommendation)} WITH recommendation, COUNT(DISTINCT similar) AS similar_user_count, COUNT(DISTINCT item) AS common_items RETURN recommendation.title, recommendation.category, similar_user_count * common_items AS score ORDER BY score DESC LIMIT 10 </code></pre></div> <h4 id="content-based-filtering" class="position-relative d-flex align-items-center group"> Content-Based Filtering <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="content-based-filtering" aria-haspopup="dialog" aria-label="Share link: Content-Based Filtering"> Share link </button> </h4>Recommend similar items: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find products similar to user's purchases MATCH (me:User {id: $userId})-[:PURCHASED]->(product:Product) -[:IN_CATEGORY]->(category:Category) <-[:IN_CATEGORY]-(similar:Product) WHERE NOT EXISTS {MATCH (me)-[:PURCHASED]->(similar)} WITH similar, COUNT(DISTINCT category) AS shared_categories, vector.cosine_similarity(product.embedding, similar.embedding) AS similarity RETURN similar.name, shared_categories, similarity, (shared_categories * 0.3 + similarity * 0.7) AS combined_score ORDER BY combined_score DESC LIMIT 10 </code></pre></div> <h4 id="hybrid-recommendations" class="position-relative d-flex align-items-center group"> Hybrid Recommendations <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="hybrid-recommendations" aria-haspopup="dialog" aria-label="Share link: Hybrid Recommendations"> Share link </button> </h4>Combine collaborative and content-based approaches: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-python" data-lang="python">import geode_client async def hybrid_recommendations(user_id: int, limit: int = 10): client = geode_client.open_database("localhost:3141") async with client.connection() as client: # Collaborative filtering score collab_result, _ = await client.query(""" MATCH (me:User {id: $userId})-[:LIKED]->(item)<-[:LIKED]-(similar:User) -[:LIKED]->(recommendation) WHERE NOT EXISTS {MATCH (me)-[:LIKED]->(recommendation)} RETURN recommendation.id AS id, COUNT(similar) AS collab_score """, {"userId": user_id}) # Content-based score content_result, _ = await client.query(""" MATCH (me:User {id: $userId})-[:LIKED]->(item) WITH me, AVG(item.embedding) AS user_profile MATCH (candidate:Product) WHERE NOT EXISTS {MATCH (me)-[:LIKED]->(candidate)} RETURN candidate.id AS id, vector.cosine_similarity(user_profile, candidate.embedding) AS content_score """, {"userId": user_id}) # Combine scores return combine_and_rank(collab_result, content_result, limit) </code></pre></div> <h3 id="knowledge-graphs-and-semantic-search" class="position-relative d-flex align-items-center group"> Knowledge Graphs and Semantic Search <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="knowledge-graphs-and-semantic-search" aria-haspopup="dialog" aria-label="Share link: Knowledge Graphs and Semantic Search"> Share link </button> </h3>Knowledge graphs model entities, concepts, and their relationships to power intelligent search, question answering, and discovery. <h4 id="entity-relationships" class="position-relative d-flex align-items-center group"> Entity Relationships <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="entity-relationships" aria-haspopup="dialog" aria-label="Share link: Entity Relationships"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Model a knowledge graph CREATE (person:Person {name: 'Albert Einstein', born: 1879}) CREATE (theory:Concept {name: 'Theory of Relativity'}) CREATE (physics:Field {name: 'Physics'}) CREATE (nobel:Award {name: 'Nobel Prize in Physics', year: 1921}) CREATE (person)-[:DEVELOPED]->(theory) CREATE (theory)-[:IN_FIELD]->(physics) CREATE (person)-[:RECEIVED]->(nobel) </code></pre></div> <h4 id="semantic-search" class="position-relative d-flex align-items-center group"> Semantic Search <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="semantic-search" aria-haspopup="dialog" aria-label="Share link: Semantic Search"> Share link </button> </h4>Find information through relationship traversal: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Answer: "Who won Nobel prizes in Physics?" MATCH (person:Person)-[:RECEIVED]->(award:Award) WHERE award.name CONTAINS 'Nobel Prize' AND award.name CONTAINS 'Physics' RETURN person.name, award.year ORDER BY award.year -- Answer: "What did Einstein contribute to Physics?" MATCH (einstein:Person {name: 'Albert Einstein'}) -[:DEVELOPED|DISCOVERED]->(contribution) -[:IN_FIELD]->(:Field {name: 'Physics'}) RETURN contribution.name, contribution.description </code></pre></div> <h4 id="concept-exploration" class="position-relative d-flex align-items-center group"> Concept Exploration <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="concept-exploration" aria-haspopup="dialog" aria-label="Share link: Concept Exploration"> Share link </button> </h4>Navigate related concepts: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Explore concepts related to a topic MATCH path = (start:Concept {name: 'Machine Learning'}) -[:RELATED_TO|REQUIRES|PART_OF*1..3]-(related:Concept) RETURN DISTINCT related.name, LENGTH(path) AS distance ORDER BY distance, related.name </code></pre></div> <h3 id="network-and-infrastructure-management" class="position-relative d-flex align-items-center group"> Network and Infrastructure Management <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="network-and-infrastructure-management" aria-haspopup="dialog" aria-label="Share link: Network and Infrastructure Management"> Share link </button> </h3>Model physical and logical networks for optimization, troubleshooting, and capacity planning. <h4 id="network-topology" class="position-relative d-flex align-items-center group"> Network Topology <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="network-topology" aria-haspopup="dialog" aria-label="Share link: Network Topology"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Model network infrastructure CREATE (router1:Router {name: 'Core-Router-1', location: 'DataCenter-A'}) CREATE (router2:Router {name: 'Core-Router-2', location: 'DataCenter-B'}) CREATE (switch1:Switch {name: 'Access-Switch-1'}) CREATE (router1)-[:CONNECTED_TO {bandwidth: '10Gbps', latency: '2ms'}]->(router2) CREATE (router2)-[:CONNECTED_TO {bandwidth: '1Gbps'}]->(switch1) </code></pre></div> <h4 id="path-optimization" class="position-relative d-flex align-items-center group"> Path Optimization <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="path-optimization" aria-haspopup="dialog" aria-label="Share link: Path Optimization"> Share link </button> </h4>Find optimal routes: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find lowest latency path MATCH path = SHORTEST (a:Router {name: 'Core-Router-1'}) -[:CONNECTED_TO*]-> (b:Router {name: 'Edge-Router-5'}) RETURN path, REDUCE (latency = 0, r IN relationships(path) | latency + r.latency) AS total_latency </code></pre></div> <h4 id="impact-analysis" class="position-relative d-flex align-items-center group"> Impact Analysis <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="impact-analysis" aria-haspopup="dialog" aria-label="Share link: Impact Analysis"> Share link </button> </h4>Identify critical infrastructure: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find single points of failure MATCH (device:Router|Switch) WHERE NOT EXISTS { MATCH (device)-[:CONNECTED_TO*2..]-(device) } WITH device, SIZE([(device)-[:CONNECTED_TO]-(d) | d]) AS connections WHERE connections >= 5 RETURN device.name, connections ORDER BY connections DESC </code></pre></div> <h3 id="access-control-and-permissions" class="position-relative d-flex align-items-center group"> Access Control and Permissions <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="access-control-and-permissions" aria-haspopup="dialog" aria-label="Share link: Access Control and Permissions"> Share link </button> </h3>Model complex authorization hierarchies. <h4 id="hierarchical-permissions" class="position-relative d-flex align-items-center group"> Hierarchical Permissions <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="hierarchical-permissions" aria-haspopup="dialog" aria-label="Share link: Hierarchical Permissions"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Model organizational hierarchy CREATE (ceo:Role {name: 'CEO'}) CREATE (vp:Role {name: 'VP Engineering'}) CREATE (manager:Role {name: 'Engineering Manager'}) CREATE (engineer:Role {name: 'Software Engineer'}) CREATE (ceo)-[:MANAGES]->(vp) CREATE (vp)-[:MANAGES]->(manager) CREATE (manager)-[:MANAGES]->(engineer) -- Check if user has permission through hierarchy MATCH (user:User {id: $userId})-[:HAS_ROLE]->(role:Role) -[:MANAGES*0..]->(inherited:Role) -[:HAS_PERMISSION]->(permission:Permission {resource: $resource}) RETURN permission.access_level </code></pre></div> <h4 id="delegated-permissions" class="position-relative d-flex align-items-center group"> Delegated Permissions <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="delegated-permissions" aria-haspopup="dialog" aria-label="Share link: Delegated Permissions"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Delegate permissions temporarily CREATE (alice:User {name: 'Alice'})-[:DELEGATES { expiry: timestamp '2026-02-01T00:00:00Z' }]->(bob:User {name: 'Bob'}) -- Check delegated access MATCH (user:User {id: $userId})-[d:DELEGATES]->(delegatee:User) -[:HAS_PERMISSION]->(perm:Permission) WHERE d.expiry > current_timestamp() RETURN perm.resource, perm.access_level </code></pre></div> <h3 id="supply-chain-and-logistics" class="position-relative d-flex align-items-center group"> Supply Chain and Logistics <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="supply-chain-and-logistics" aria-haspopup="dialog" aria-label="Share link: Supply Chain and Logistics"> Share link </button> </h3>Track products, shipments, and dependencies through complex supply chains. <h4 id="product-lineage" class="position-relative d-flex align-items-center group"> Product Lineage <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="product-lineage" aria-haspopup="dialog" aria-label="Share link: Product Lineage"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Track component origins MATCH path = (finished:Product {sku: $sku}) -[:CONTAINS*]->(component:Component) -[:SUPPLIED_BY]->(supplier:Supplier) RETURN path, supplier.name, supplier.country </code></pre></div> <h4 id="dependency-analysis" class="position-relative d-flex align-items-center group"> Dependency Analysis <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="dependency-analysis" aria-haspopup="dialog" aria-label="Share link: Dependency Analysis"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find critical suppliers MATCH (supplier:Supplier)-[:SUPPLIES]->(component:Component) <-[:CONTAINS*]-(product:Product) WITH supplier, COUNT(DISTINCT product) AS affected_products WHERE affected_products > 100 RETURN supplier.name, affected_products ORDER BY affected_products DESC </code></pre></div> <h3 id="customer-360-and-marketing" class="position-relative d-flex align-items-center group"> Customer 360 and Marketing <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="customer-360-and-marketing" aria-haspopup="dialog" aria-label="Share link: Customer 360 and Marketing"> Share link </button> </h3>Unify customer data across touchpoints. <h4 id="customer-journey" class="position-relative d-flex align-items-center group"> Customer Journey <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="customer-journey" aria-haspopup="dialog" aria-label="Share link: Customer Journey"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Track customer interactions MATCH (customer:Customer {id: $customerId}) -[:INTERACTION {type: 'email_open'}]->(campaign:Campaign) -[:LED_TO]->(:Interaction {type: 'website_visit'}) -[:LED_TO]->(:Interaction {type: 'purchase'}) RETURN campaign.name, COUNT(*) AS conversions </code></pre></div> <h4 id="segment-analysis" class="position-relative d-flex align-items-center group"> Segment Analysis <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="segment-analysis" aria-haspopup="dialog" aria-label="Share link: Segment Analysis"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Identify high-value customer segments MATCH (customer:Customer)-[:PURCHASED]->(product:Product) WITH customer, SUM(product.price) AS lifetime_value, COUNT(product) AS purchase_count WHERE lifetime_value > 10000 RETURN customer.segment, AVG(lifetime_value) AS avg_ltv, COUNT(customer) AS segment_size GROUP BY customer.segment </code></pre></div> <h3 id="best-practices-for-application-design" class="position-relative d-flex align-items-center group"> Best Practices for Application Design <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="best-practices-for-application-design" aria-haspopup="dialog" aria-label="Share link: Best Practices for Application Design"> Share link </button> </h3><ol> <li>Model the domain naturally: Represent entities as nodes, relationships as edges</li> <li>Optimize for queries: Design schema based on access patterns</li> <li>Use indexes: Create indexes on frequently queried properties</li> <li>Denormalize when appropriate: Trade storage for query performance</li> <li>Implement caching: Cache frequent queries in application layer</li> <li>Monitor performance: Profile queries and optimize bottlenecks</li> <li>Plan for scale: Design with future growth in mind</li> </ol> <h3 id="related-topics" class="position-relative d-flex align-items-center group"> Related Topics <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="related-topics" aria-haspopup="dialog" aria-label="Share link: Related Topics"> Share link </button> </h3><ul> <li><a href="/tags/applications/" >Social Networks</a> - Social platform implementations</li> <li><a href="/tags/fraud-detection/" >Fraud Detection</a> - Financial fraud patterns</li> <li><a href="/tags/recommendations/" >Recommendations</a> - Recommendation algorithms</li> <li><a href="/docs/use-cases/knowledge-graphs/" >Knowledge Graphs</a> - Semantic networks</li> <li><a href="/tags/real-time-analytics/" >Real-Time Analytics</a> - Streaming graph analytics</li> <li><a href="/tags/machine-learning/" >Machine Learning</a> - ML integration patterns</li> </ul> <h3 id="healthcare-and-life-sciences" class="position-relative d-flex align-items-center group"> Healthcare and Life Sciences <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="healthcare-and-life-sciences" aria-haspopup="dialog" aria-label="Share link: Healthcare and Life Sciences"> Share link </button> </h3> <h4 id="patient-care-networks" class="position-relative d-flex align-items-center group"> Patient Care Networks <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="patient-care-networks" aria-haspopup="dialog" aria-label="Share link: Patient Care Networks"> Share link </button> </h4>Model complex relationships between patients, providers, medications, and conditions: <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find similar patient cases for treatment recommendations MATCH (patient:Patient {id: $patient_id})-[:HAS_CONDITION]->(condition:Condition) <-[:HAS_CONDITION]-(similar:Patient) -[:PRESCRIBED]->(treatment:Treatment) WHERE NOT EXISTS { MATCH (patient)-[:PRESCRIBED]->(treatment) } WITH treatment, COUNT(DISTINCT similar) AS similar_patient_count, AVG(similar.outcome_score) AS avg_outcome WHERE similar_patient_count >= 5 AND avg_outcome > 7.0 RETURN treatment.name, treatment.dosage, similar_patient_count, avg_outcome ORDER BY similar_patient_count DESC, avg_outcome DESC LIMIT 10 </code></pre></div> <h4 id="drug-interaction-detection" class="position-relative d-flex align-items-center group"> Drug Interaction Detection <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="drug-interaction-detection" aria-haspopup="dialog" aria-label="Share link: Drug Interaction Detection"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Identify dangerous drug interactions MATCH (patient:Patient {id: $patient_id})-[:PRESCRIBED]->(drug1:Drug) MATCH (patient)-[:PRESCRIBED]->(drug2:Drug) MATCH (drug1)-[:INTERACTS_WITH {severity: 'high'}]-(drug2) WHERE drug1.id < drug2.id RETURN drug1.name AS medication1, drug2.name AS medication2, drug1.interaction_effect AS effect, drug1.interaction_severity AS severity </code></pre></div> <h4 id="clinical-trial-matching" class="position-relative d-flex align-items-center group"> Clinical Trial Matching <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="clinical-trial-matching" aria-haspopup="dialog" aria-label="Share link: Clinical Trial Matching"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find eligible patients for clinical trials MATCH (trial:ClinicalTrial) WHERE trial.status = 'recruiting' MATCH (patient:Patient) WHERE patient.age >= trial.min_age AND patient.age <= trial.max_age AND NOT EXISTS { MATCH (patient)-[:HAS_CONDITION]->(exclusion:Condition) WHERE exclusion.name IN trial.exclusion_criteria } WITH trial, patient, SIZE([(patient)-[:HAS_CONDITION]->(c:Condition) WHERE c.name IN trial.inclusion_criteria | c]) AS matching_criteria WHERE matching_criteria >= SIZE(trial.inclusion_criteria) RETURN trial.name, trial.sponsor, patient.id, patient.name, matching_criteria ORDER BY trial.priority DESC, matching_criteria DESC </code></pre></div> <h3 id="financial-services" class="position-relative d-flex align-items-center group"> Financial Services <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="financial-services" aria-haspopup="dialog" aria-label="Share link: Financial Services"> Share link </button> </h3> <h4 id="anti-money-laundering-aml" class="position-relative d-flex align-items-center group"> Anti-Money Laundering (AML) <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="anti-money-laundering-aml" aria-haspopup="dialog" aria-label="Share link: Anti-Money Laundering (AML)"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Detect layering patterns (multiple intermediate accounts) MATCH path = (source:Account)-[:TRANSFER*3..7]->(destination:Account) WHERE source.country <> destination.country AND ALL (r IN relationships(path) WHERE r.timestamp > current_timestamp() - INTERVAL '48' HOUR) AND LENGTH(path) >= 3 WITH path, [r IN relationships(path) | r.amount] AS amounts, REDUCE(total = 0, r IN relationships(path) | total + r.amount) AS total_amount WHERE total_amount > 50000 RETURN path, amounts, total_amount, [n IN nodes(path) | n.country] AS countries ORDER BY total_amount DESC </code></pre></div> <h4 id="credit-risk-assessment" class="position-relative d-flex align-items-center group"> Credit Risk Assessment <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="credit-risk-assessment" aria-haspopup="dialog" aria-label="Share link: Credit Risk Assessment"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Assess credit risk using network effects MATCH (applicant:Person {id: $applicant_id}) OPTIONAL MATCH (applicant)-[:KNOWS]->(connection:Person) WITH applicant, AVG(connection.credit_score) AS network_avg_credit, COUNT{(applicant)-[:EMPLOYED_BY]->(:Company)} AS employment_count, COUNT{(applicant)-[:DEFAULT]->()} AS default_count RETURN applicant.id, applicant.credit_score AS individual_score, network_avg_credit, CASE WHEN network_avg_credit > 700 THEN 1.1 WHEN network_avg_credit > 600 THEN 1.0 ELSE 0.9 END AS network_multiplier, employment_count, default_count, CASE WHEN default_count > 0 THEN 'high_risk' WHEN network_avg_credit < 600 THEN 'medium_risk' ELSE 'low_risk' END AS risk_category </code></pre></div> <h3 id="e-commerce-and-retail" class="position-relative d-flex align-items-center group"> E-Commerce and Retail <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="e-commerce-and-retail" aria-haspopup="dialog" aria-label="Share link: E-Commerce and Retail"> Share link </button> </h3> <h4 id="product-recommendations" class="position-relative d-flex align-items-center group"> Product Recommendations <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="product-recommendations" aria-haspopup="dialog" aria-label="Share link: Product Recommendations"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Multi-faceted product recommendations MATCH (user:User {id: $user_id}) // Collaborative filtering OPTIONAL MATCH (user)-[:PURCHASED]->(p1:Product)<-[:PURCHASED]-(similar:User) -[:PURCHASED]->(collab_rec:Product) WHERE NOT EXISTS {MATCH (user)-[:PURCHASED]->(collab_rec)} WITH user, collab_rec, COUNT(similar) AS collab_score // Content-based filtering OPTIONAL MATCH (user)-[:PURCHASED]->(p2:Product)-[:IN_CATEGORY]->(cat:Category) <-[:IN_CATEGORY]-(content_rec:Product) WHERE NOT EXISTS {MATCH (user)-[:PURCHASED]->(content_rec)} WITH user, collab_rec, collab_score, content_rec, COUNT(cat) AS content_score // Trending products OPTIONAL MATCH (trending:Product)<-[:PURCHASED]-(buyer:User) WHERE buyer.purchase_timestamp > current_timestamp() - INTERVAL '7' DAY WITH collab_rec, collab_score, content_rec, content_score, trending, COUNT(buyer) AS trend_score // Combine scores WITH COALESCE(collab_rec, content_rec, trending) AS recommendation, COALESCE(collab_score * 3, 0) + COALESCE(content_score * 2, 0) + COALESCE(trend_score, 0) AS combined_score WHERE recommendation IS NOT NULL RETURN DISTINCT recommendation.name, recommendation.price, combined_score ORDER BY combined_score DESC LIMIT 20 </code></pre></div> <h4 id="inventory-optimization" class="position-relative d-flex align-items-center group"> Inventory Optimization <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="inventory-optimization" aria-haspopup="dialog" aria-label="Share link: Inventory Optimization"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Identify supply chain bottlenecks MATCH (product:Product)-[:REQUIRES]->(component:Component) -[:SUPPLIED_BY]->(supplier:Supplier) WITH component, COUNT(DISTINCT product) AS dependent_products, COUNT(DISTINCT supplier) AS supplier_count, AVG(supplier.lead_time_days) AS avg_lead_time WHERE supplier_count = 1 -- Single point of failure OR avg_lead_time > 30 -- Long lead time RETURN component.name, component.stock_level, dependent_products, supplier_count, avg_lead_time, CASE WHEN component.stock_level < dependent_products * 10 AND supplier_count = 1 THEN 'critical' WHEN avg_lead_time > 30 THEN 'warning' ELSE 'ok' END AS risk_status ORDER BY dependent_products DESC, supplier_count ASC </code></pre></div> <h3 id="telecommunications" class="position-relative d-flex align-items-center group"> Telecommunications <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="telecommunications" aria-haspopup="dialog" aria-label="Share link: Telecommunications"> Share link </button> </h3> <h4 id="network-capacity-planning" class="position-relative d-flex align-items-center group"> Network Capacity Planning <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="network-capacity-planning" aria-haspopup="dialog" aria-label="Share link: Network Capacity Planning"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Identify network segments requiring capacity upgrade MATCH (node1:NetworkNode)-[link:FIBER_LINK]-(node2:NetworkNode) WITH link, link.current_utilization / link.capacity AS utilization_pct, link.peak_hour_traffic / link.capacity AS peak_utilization WHERE utilization_pct > 0.7 OR peak_utilization > 0.85 OPTIONAL MATCH path = (node1)-[:BACKUP_ROUTE*1..3]-(node2) WITH link, utilization_pct, peak_utilization, CASE WHEN path IS NULL THEN 'no_backup' ELSE 'has_backup' END AS backup_status RETURN link.id, link.from_location, link.to_location, utilization_pct, peak_utilization, backup_status, CASE WHEN backup_status = 'no_backup' AND utilization_pct > 0.8 THEN 'urgent' WHEN peak_utilization > 0.85 THEN 'high_priority' ELSE 'monitor' END AS priority ORDER BY utilization_pct DESC </code></pre></div> <h4 id="service-outage-impact-analysis" class="position-relative d-flex align-items-center group"> Service Outage Impact Analysis <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="service-outage-impact-analysis" aria-haspopup="dialog" aria-label="Share link: Service Outage Impact Analysis"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Calculate customer impact of network node failure MATCH (failed_node:NetworkNode {id: $node_id}) MATCH (customer:Customer)-[:SERVICED_BY]->(access_node:NetworkNode) WHERE NOT EXISTS { MATCH path = (access_node)-[:ROUTE*]-(alternate:NetworkNode) WHERE alternate <> failed_node AND (alternate)-[:ROUTE]-(backbone:BackboneNode) } WITH COUNT(DISTINCT customer) AS affected_customers, SUM(customer.monthly_revenue) AS revenue_at_risk RETURN failed_node.id, failed_node.location, affected_customers, revenue_at_risk, revenue_at_risk / affected_customers AS avg_customer_value </code></pre></div> <h3 id="transportation-and-logistics" class="position-relative d-flex align-items-center group"> Transportation and Logistics <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="transportation-and-logistics" aria-haspopup="dialog" aria-label="Share link: Transportation and Logistics"> Share link </button> </h3> <h4 id="route-optimization-with-constraints" class="position-relative d-flex align-items-center group"> Route Optimization with Constraints <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="route-optimization-with-constraints" aria-haspopup="dialog" aria-label="Share link: Route Optimization with Constraints"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find optimal delivery route with time windows MATCH (depot:Location {type: 'depot'}) MATCH (delivery:Delivery {status: 'pending', date: $delivery_date}) -[:DELIVER_TO]->(destination:Location) MATCH path = SHORTEST (depot)-[:ROUTE*]-(destination) WHERE ALL (segment IN relationships(path) WHERE segment.traffic_level < 'high' AND segment.road_condition = 'good') WITH delivery, destination, path, REDUCE(time = 0, r IN relationships(path) | time + r.travel_time_minutes) AS total_time, REDUCE(distance = 0, r IN relationships(path) | distance + r.distance_km) AS total_distance WHERE total_time <= delivery.time_window_end - delivery.time_window_start RETURN delivery.id, destination.address, total_distance, total_time, delivery.time_window_start, delivery.time_window_end ORDER BY delivery.priority DESC, total_time ASC </code></pre></div> <h3 id="manufacturing-and-industry-40" class="position-relative d-flex align-items-center group"> Manufacturing and Industry 4.0 <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="manufacturing-and-industry-40" aria-haspopup="dialog" aria-label="Share link: Manufacturing and Industry 4.0"> Share link </button> </h3> <h4 id="predictive-maintenance" class="position-relative d-flex align-items-center group"> Predictive Maintenance <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="predictive-maintenance" aria-haspopup="dialog" aria-label="Share link: Predictive Maintenance"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Identify equipment needing maintenance based on sensor data and dependencies MATCH (equipment:Equipment)-[:DEPENDS_ON*1..2]->(dependency:Equipment) WHERE equipment.sensor_vibration > equipment.vibration_threshold OR equipment.sensor_temperature > equipment.temperature_threshold OR dependency.status = 'degraded' WITH equipment, COUNT(dependency) AS dependent_count, SUM(CASE WHEN dependency.status = 'degraded' THEN 1 ELSE 0 END) AS degraded_dependencies OPTIONAL MATCH (equipment)<-[:PRODUCES]-(production_line:ProductionLine) RETURN equipment.id, equipment.location, equipment.last_maintenance, dependent_count, degraded_dependencies, production_line.daily_output_value AS production_impact, CASE WHEN degraded_dependencies > 0 THEN 'critical' WHEN equipment.sensor_vibration > equipment.vibration_threshold * 1.5 THEN 'urgent' WHEN production_line.daily_output_value > 1000000 THEN 'high_priority' ELSE 'scheduled' END AS maintenance_priority ORDER BY production_impact DESC </code></pre></div> <h3 id="gaming-and-entertainment" class="position-relative d-flex align-items-center group"> Gaming and Entertainment <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="gaming-and-entertainment" aria-haspopup="dialog" aria-label="Share link: Gaming and Entertainment"> Share link </button> </h3> <h4 id="player-matchmaking" class="position-relative d-flex align-items-center group"> Player Matchmaking <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="player-matchmaking" aria-haspopup="dialog" aria-label="Share link: Player Matchmaking"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Match players for balanced teams MATCH (player:Player {id: $player_id, looking_for_match: true}) MATCH (candidate:Player {looking_for_match: true}) WHERE candidate.id <> player.id AND ABS(candidate.skill_rating - player.skill_rating) <= 200 AND candidate.preferred_game_mode = player.preferred_game_mode WITH player, candidate, ABS(candidate.skill_rating - player.skill_rating) AS skill_diff, CASE WHEN candidate.region = player.region THEN 0 ELSE 50 END AS region_penalty OPTIONAL MATCH (player)-[:PLAYED_WITH]->(candidate) WITH player, candidate, skill_diff, region_penalty, COUNT(*) AS previous_matches RETURN candidate.id, candidate.username, candidate.skill_rating, skill_diff + region_penalty - (previous_matches * 5) AS match_score ORDER BY match_score ASC LIMIT 10 </code></pre></div> <h3 id="education-and-research" class="position-relative d-flex align-items-center group"> Education and Research <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="education-and-research" aria-haspopup="dialog" aria-label="Share link: Education and Research"> Share link </button> </h3> <h4 id="academic-collaboration-network" class="position-relative d-flex align-items-center group"> Academic Collaboration Network <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="academic-collaboration-network" aria-haspopup="dialog" aria-label="Share link: Academic Collaboration Network"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find potential research collaborators MATCH (researcher:Researcher {id: $researcher_id})-[:PUBLISHED]->(paper:Paper) -[:TAGGED_WITH]->(topic:Topic) MATCH (topic)<-[:TAGGED_WITH]-(other_paper:Paper)<-[:PUBLISHED]-(collaborator:Researcher) WHERE collaborator.id <> researcher.id AND NOT EXISTS { MATCH (researcher)-[:CO_AUTHORED]-(collaborator) } WITH collaborator, COUNT(DISTINCT topic) AS shared_topics, COUNT(DISTINCT other_paper) AS their_papers OPTIONAL MATCH (collaborator)-[:AFFILIATED_WITH]->(institution:Institution) <-[:AFFILIATED_WITH]-(researcher) WITH collaborator, shared_topics, their_papers, CASE WHEN institution IS NOT NULL THEN 10 ELSE 0 END AS institution_bonus RETURN collaborator.name, collaborator.field, shared_topics, their_papers, shared_topics * their_papers + institution_bonus AS collaboration_score ORDER BY collaboration_score DESC LIMIT 20 </code></pre></div> <h3 id="real-estate-and-property-management" class="position-relative d-flex align-items-center group"> Real Estate and Property Management <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="real-estate-and-property-management" aria-haspopup="dialog" aria-label="Share link: Real Estate and Property Management"> Share link </button> </h3> <h4 id="property-valuation-network" class="position-relative d-flex align-items-center group"> Property Valuation Network <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="property-valuation-network" aria-haspopup="dialog" aria-label="Share link: Property Valuation Network"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Estimate property value based on comparable sales MATCH (property:Property {id: $property_id}) MATCH (comparable:Property) WHERE comparable.id <> property.id AND comparable.sold_date > current_date() - INTERVAL '12' MONTH AND ABS(comparable.square_feet - property.square_feet) < 500 AND comparable.bedrooms = property.bedrooms AND comparable.bathrooms = property.bathrooms WITH property, comparable, point_distance(property.location, comparable.location) AS distance_meters WHERE distance_meters < 1000 WITH property, AVG(comparable.sale_price) AS avg_price, STDDEV(comparable.sale_price) AS price_stddev, COUNT(comparable) AS comparable_count RETURN property.address, avg_price AS estimated_value, price_stddev AS value_uncertainty, comparable_count, avg_price - (2 * price_stddev) AS low_estimate, avg_price + (2 * price_stddev) AS high_estimate </code></pre></div> <h3 id="performance-optimization-for-use-cases" class="position-relative d-flex align-items-center group"> Performance Optimization for Use Cases <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="performance-optimization-for-use-cases" aria-haspopup="dialog" aria-label="Share link: Performance Optimization for Use Cases"> Share link </button> </h3> <h4 id="indexing-strategy" class="position-relative d-flex align-items-center group"> Indexing Strategy <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="indexing-strategy" aria-haspopup="dialog" aria-label="Share link: Indexing Strategy"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Create indexes for common access patterns -- Social networks: user lookup CREATE INDEX user_email ON :User(email); CREATE INDEX user_username ON :User(username); -- E-commerce: product search CREATE INDEX product_category ON :Product(category); CREATE FULL TEXT INDEX product_search ON :Product(name, description); -- Finance: transaction lookup CREATE INDEX transaction_timestamp ON :Transaction(timestamp); CREATE INDEX account_transactions ON :Account(id); -- Healthcare: patient records CREATE INDEX patient_id ON :Patient(id); CREATE INDEX patient_mrn ON :Patient(medical_record_number); </code></pre></div> <h4 id="query-caching-strategy" class="position-relative d-flex align-items-center group"> Query Caching Strategy <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="query-caching-strategy" aria-haspopup="dialog" aria-label="Share link: Query Caching Strategy"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-python" data-lang="python">from functools import lru_cache import hashlib import json class QueryCache: """Cache frequently executed queries.""" def __init__(self, ttl_seconds=300): self.cache = {} self.ttl = ttl_seconds def cache_key(self, query, params): """Generate cache key from query and parameters.""" param_str = json.dumps(params, sort_keys=True) return hashlib.sha256(f"{query}:{param_str}".encode()).hexdigest() async def execute(self, client, query, params=None): """Execute with caching.""" key = self.cache_key(query, params or {}) # Check cache if key in self.cache: cached_result, timestamp = self.cache[key] if time.time() - timestamp < self.ttl: return cached_result # Execute and cache result, _ = await client.query(query, params) self.cache[key] = (result, time.time()) return result </code></pre></div> <h3 id="further-reading" class="position-relative d-flex align-items-center group"> Further Reading <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="further-reading" aria-haspopup="dialog" aria-label="Share link: Further Reading"> Share link </button> </h3><ul> <li><a href="/tags/modeling/" >Data Modeling</a> - Graph schema design</li> <li><a href="/categories/best-practices/" >Best Practices</a> - Development patterns</li> <li><a href="/categories/examples/" >Examples</a> - Code examples</li> <li><a href="/docs/architecture/" >Architecture</a> - System design patterns</li> <li><a href="/categories/performance-and-scaling/" >Performance</a> - Optimization techniques</li> <li><a href="/categories/graph-algorithms-and-analytics/" >Graph Algorithms</a> - Analytics for use cases</li> </ul>

Popular

Related Articles

Graph Algorithms and Analytics

Use Case Guides

Fraud and Anomaly Detection

Recommendation Systems

Use Cases

Social Network Guide

Recommendation Engine Guide

Knowledge Graph Guide

Fraud Detection Guide