7 Visualization Recommendations

Visualization Recommendations

1. Node Degree Visualization

// Data for degree-based visualization
MATCH (n)
OPTIONAL MATCH (n)-[r]-()
WITH n,
     labels(n)[0] as nodeType,
     count(DISTINCT r) as degree
RETURN 
    nodeType,
    CASE nodeType
        WHEN 'Person' THEN n.name
        WHEN 'Meeting' THEN n.workgroup + ' (' + n.date + ')'
        ELSE coalesce(n.title, n.text, '')
    END as label,
    degree as size
ORDER BY degree DESC;

Visualization Tips:

• Use node size to represent degree
• Color nodes by type (Person, Meeting, etc.)
• Add tooltips showing exact degree values
• Consider force-directed layout

2. Path Length Visualization

// Data for path visualization
MATCH path = (start)-[*1..3]-(end)
WHERE labels(start)[0] = 'Person'
AND labels(end)[0] = 'Person'
AND start <> end
RETURN 
    start.name as source,
    end.name as target,
    length(path) as distance,
    [node in nodes(path) | labels(node)[0]] as node_types
ORDER BY distance
LIMIT 100;

Visualization Tips:

• Use edge length to show path distance
• Color edges by path length
• Show intermediate nodes
• Consider hierarchical layout

3. Clustering Visualization

// Data for cluster visualization
MATCH (n)-[r1]-(neighbor)
WITH n, 
     collect(DISTINCT neighbor) as neighbors,
     count(DISTINCT neighbor) as degree
WHERE degree > 1
MATCH (n1)-[r2]-(n2)
WHERE n1 IN neighbors 
AND n2 IN neighbors
AND id(n1) < id(n2)
RETURN 
    labels(n)[0] as group,
    n.name as node,
    count(*) as cluster_size,
    collect(DISTINCT n1.name + '-' + n2.name) as connections
ORDER BY cluster_size DESC;

Visualization Tips:

• Group nodes by clustering coefficient
• Use different colors for clusters
• Show connection density
• Consider circular layout for clusters

Recommended Visualization Tools:

1. Neo4j Bloom

   • Built-in visualization
   • Interactive exploration
   • Custom styling rules
   • Real-time updates

2. Graph Data Visualization Tools

   • D3.js for custom web visualizations
   • Gephi for detailed analysis
   • Graphistry for large-scale graphs
   • Cytoscape for biological-style networks

3. Best Practices

   • Limit node count for clarity
   • Use consistent color schemes
   • Add interactive filters
   • Include legend/key
   • Enable zoom/pan
   • Show relationship labels on hover

Visualization Use Cases:

1. Executive Dashboards

   • High-level metrics
   • Key player identification
   • Trend visualization

2. Analysis Views

   • Detailed connections
   • Path analysis
   • Cluster identification

3. Operational Views

   • Real-time updates
   • Action item tracking
   • Meeting connections