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Efficient Maximum Closeness Centrality Group Identification
As a key concept in the social networks, closeness centrality is widely adopted to measure the importance of a node. Many efficient algorithms are developed in the literature to find the top-k closeness centrality nodes.
Xiaoyang Wang
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Maintaining the duality of closeness and betweenness centrality
Social Networks, 2016Ulrik Brandes +2 more
exaly
DACCER: Distributed Assessment of the Closeness CEntrality Ranking in complex networks
Computer Networks, 2013Artur Ziviani, Klaus Wehmuth
exaly
Finding Critical Links for Closeness Centrality
INFORMS Journal on Computing, 2019Eduardo Pasiliao +2 more
exaly
Computing top-k Closeness Centrality Faster in Unweighted Graphs
ACM Transactions on Knowledge Discovery From Data, 2019Pierluigi Crescenzi +2 more
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A New Closeness Centrality Measure based on Minimum Weight Spanning Tree
2023Reggie Davidrajuh
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