From xactions
Analyzes X/Twitter follower/following networks with graph algorithms like PageRank, betweenness, community detection to find clusters, influencers, bridges, segments. Use for audience or competitor network structure.
npx claudepluginhub nirholas/xactionsThis skill uses the workspace's default tool permissions.
API-powered network graph analysis for X/Twitter follower relationships.
Analyzes network structures using NetworkX: identifies communities, measures centrality (degree, betweenness, closeness, eigenvector), and visualizes relationships in social networks, organizations, supply chains, and fraud detection.
Creates, analyzes, and visualizes graphs and networks in Python with NetworkX. Use for graph algorithms like shortest paths, centrality, clustering, community detection, and synthetic network generation.
Creates, analyzes, and visualizes graphs and networks in Python using NetworkX. Runs algorithms for shortest paths, centrality, clustering, community detection, and generates synthetic networks.
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API-powered network graph analysis for X/Twitter follower relationships.
| Goal | Route | Method |
|---|---|---|
| Build a network graph | POST /api/graph/build | REST API |
| Get graph data | GET /api/graph/:id | REST API |
| Run graph algorithms | POST /api/graph/:id/analyze | REST API |
| Export graph | GET /api/graph/:id/export | REST API |
| Visualize graph | GET /api/graph/:id/visualize | REST API |
POST /api/graph/build
Authorization: Bearer <token>
Content-Type: application/json
{
"username": "nichxbt",
"depth": 1, // 1 = direct followers, 2 = followers of followers
"maxNodes": 500 // Limit graph size
}
POST /api/graph/:id/analyze
Authorization: Bearer <token>
Content-Type: application/json
{
"algorithm": "pagerank" // "pagerank" | "betweenness" | "community" | "influencers"
}
| Algorithm | Description |
|---|---|
pagerank | Rank nodes by influence (like Google's PageRank) |
betweenness | Find bridge accounts connecting different clusters |
community | Detect communities/clusters within the network |
influencers | Identify top influencers by degree centrality |
| Goal | Approach |
|---|---|
| Find bridge accounts for cross-audience reach | algorithm: "betweenness" |
| Identify communities in your follower base | algorithm: "community" |
| Find most influential followers | algorithm: "influencers" |
| Rank followers by network influence | algorithm: "pagerank" |
depth: 2 creates much larger graphs — use maxNodes to limit