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加重度中心性×次数中心性×
分野ネットワーク分析ネットワーク分析
系統Machine learningMachine learning
提唱年20041978
提唱者Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.Freeman, L. C.
種類Centrality measure for weighted networksNode-level centrality measure
原典Barrat, A., Barthélemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752. DOI ↗Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239. DOI ↗
別名node strength, strength centrality, weighted node degree, WDCnode degree, degree score, DC, connectivity centrality
関連66
概要Weighted degree centrality — also called node strength — extends the classic degree centrality measure to networks whose edges carry numeric weights. Instead of simply counting a node's connections, it sums the weights of all edges incident to that node, capturing both the volume and the intensity of a node's ties in a single, interpretable score.Degree centrality is the simplest and most intuitive measure of a node's importance in a network, defined as the number of direct ties a node has to other nodes. Normalized by dividing by the maximum possible ties, it allows comparison across networks of different sizes and is the starting point of almost every network analysis.
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ScholarGate手法を比較: Weighted Degree Centrality · Degree Centrality. 2026-06-19に以下より取得 https://scholargate.app/ja/compare