Charting Collections of Social Media Connections with NodeXL
summary
Turns raw social media logs into spreadsheets, computes centrality (degree, betweenness, eigenvector/PageRank), and auto-renders publishable network maps inside Excel using a C#.NET add‑in that calls high‑performance libraries and APIs. It classifies recurring shapes into six types (polarized, in‑group, brand, broadcast, support, clusters), finds hubs, bridges, isolates and shows metrics and top URLs/hashtags by group. Workflow is scriptable and scalable — the project reports ~1,000,000 hashtag snapshots and can generate ~180 maps/day; shares results via the NodeXL Graph Gallery.
AI-written summary · about
chapters (7)
- 0:00NodeXL and social network analysis
- 10:00Why networks matter in social media
- 20:00NodeXL automates network analysis
- 30:00Six social media network graphs
- 40:00Network theory for social media strategies
- 50:00Live demo: SQL hashtag analysis
- 1:00:00Q&A
related talks
01h 26mBuilding an Interactive Network Graph to Understand Communities
42mVisualising Connections
43mVisualising networks
02h 47mNetwork Analysis Made Simple
26mGetting an Edge with Network Analysis with Python
01h 07mVisualizing Connections
01h 32mConnected: A Social Network Analysis Tutorial with NetworkX
42mVisualizing Connections