方法证据记录
Weighted Closeness Centrality
Weighted closeness centrality extends the classic closeness measure to networks where edges carry numerical weights — such as frequency, strength, or cost — by incorporating those weights into shortest-path distances. Nodes that can reach others quickly along strong or efficient connections receive higher scores, making it a richer indicator of information-spreading potential than its binary counterpart.
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。
Weighted Closeness Centrality (Opsahl Generalized Closeness)
分类方法记录 · ml-model / network-analysis
- Opsahl, T., Agneessens, F. & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32(3), 245–251. · DOI 10.1016/j.socnet.2010.03.006
- Brandes, U. (2001). A faster algorithm for betweenness centrality. Journal of Mathematical Sociology, 25(2), 163–177. · DOI 10.1080/0022250X.2001.9990249
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