Building an Interactive Network Graph to Understand Communities
summary
Claim: building an interactive network graph that replaces an org chart by clustering people on real attributes and finding proximity. Implementation uses Faker to synthesize ~150 people, NetworkX to model nodes and edges, and Plotly Dash plus Cytoscape for an extensible dashboard. The talk shows a reproducible pipeline, demonstrates a physics layout and attribute nodes (languages, city, manager), and delivers a working interactive app with some layout tuning needed.
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chapters (13)
- 0:00Network graphs for communities
- 1:49Traditional org charts problems
- 7:28Graph theory basics
- 12:44From theory to visualization
- 13:49Synthetic data with Faker
- 27:51Fake org dataset
- 31:09Graphs with NetworkX
- 36:56Plotly network graphs
- 48:33Attribute nodes and edges
- 59:40Dash and Cytoscape apps
- 1:04:17Community explorer interface
- 1:18:45Demo and detection approaches
- 1:21:38Q&A
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