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Different Influence Models of Node Centrality in Transactional Community

机译：交易社区中节点中心度的不同影响模型

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摘要

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.
机译：这项研究调查了交易社区环境下节点网络中心性的各种影响模型。结合社交网络分析（SNA）和Tobit回归，研究表明：i）节点的程度中心性（其追随者）和中间性中心化（理论上，结果提供了对来源的洞察力; ii）紧密度中心度（网络中的物理紧密度）对其影响没有显着影响。在实践中，可以根据不同的中心性更好地识别影响力，从而更准确地区分意见领袖。

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