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• W803217162 abstract "This study investigates the various influence models of nodes' network centrality in the context of transactional community. Combining the Social Network Analysis (SNA) with Tobit regression, the research indicates that: i) a node's degree centrality (its followers) and betweenness centrality (the number of the shortest paths in which the node is included) have a positive impact on its network influence, ii) the closeness centrality (physical closeness in network) shows no significant impact on its influence. Theoretically, the results provide insight into the sources of influence and various influence models of different node centralities in transactional community network. In practice, influentials can be better identified according to different centralities, so as to distinguish the opinion leaders in a more accurate way." @default.
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• W803217162 date "2014-01-01" @default.
• W803217162 modified "2023-09-25" @default.
• W803217162 title "CentralityDifferent Influence Models of Node Centrality in Transactional Community" @default.
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