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시간적 매개 중심성×Betweenness Centrality×
분야네트워크 분석네트워크 분석
계열Machine learningMachine learning
기원 연도20121977
창시자Kim, H. & Anderson, R.; Holme, P. & Saramäki, J.Freeman, L. C.
유형Centrality measure for temporal networksCentrality measure
원전Holme, P., & Saramäki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125. DOI ↗Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41. DOI ↗
별칭TBC, time-varying betweenness centrality, dynamic betweenness centrality, time-respecting betweennessFreeman betweenness, BC, geodesic betweenness, shortest-path betweenness
관련66
요약Temporal Betweenness Centrality (TBC) extends classical betweenness centrality to time-stamped networks by counting how often a node lies on time-respecting shortest paths — paths that traverse edges in chronological order. It identifies nodes that act as temporal brokers, controlling information or resource flow as it evolves over time, rather than in a static snapshot.Betweenness centrality, formalized by Linton C. Freeman in 1977, measures how often a node lies on the shortest path connecting every other pair of nodes in a network. High-betweenness nodes act as bridges or brokers: removing them fragments the network into disconnected components more severely than removing any other nodes.
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ScholarGate방법 비교: Temporal Betweenness Centrality · Betweenness Centrality. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare