方法证据记录
Directed Eigenvector Centrality
Directed eigenvector centrality extends the classic eigenvector centrality to directed graphs by scoring each node according to the centrality of the nodes that point to it (in-direction) or that it points to (out-direction). A node earns a high score not merely by having many connections but by being connected to other highly central nodes, capturing asymmetric influence in citation networks, social hierarchies, and information flows.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Directed Eigenvector Centrality (Asymmetric Influence Scoring on Directed Graphs)
分类方法记录 · ml-model / network-analysis
- Bonacich, P. (1987). Power and centrality: A family of measures. American Journal of Sociology, 92(5), 1170–1182. · DOI 10.1086/228631
- Eigenvector centrality. Wikipedia. · URL
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