Everybody Is an Influencer–Which Influencer Are You
summary
Classifies influence with graph metrics and a concrete Python tool: uses NetworkX to build follower/mention graphs, measures participation as out‑degree and visibility as in‑degree, detects topic position via community modularity (example: election networks shifting over three days), interprets high in‑degree plus clear stance as opinion leader, high out‑degree as activist, unclear stance as news/informational influencer, and high betweenness as information broker.
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