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중심성 척도×가중 차수 중심성×
분야네트워크 분석네트워크 분석
계열Machine learningMachine learning
기원 연도19782004
창시자Freeman, L. C.Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.
유형Node-level centrality measureCentrality measure for weighted networks
원전Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239. DOI ↗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 ↗
별칭node degree, degree score, DC, connectivity centralitynode strength, strength centrality, weighted node degree, WDC
관련66
요약Degree 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.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.
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ScholarGate방법 비교: Degree Centrality · Weighted Degree Centrality. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare