A message passing algorithm for the evaluation of social influence

L. Vassio, F. Fagnani, P. Frasca, A. Ozdaglar
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引用次数: 3

Abstract

In this paper, we define a new measure of node centrality in social networks, the Harmonic Influence Centrality, which emerges naturally in the study of social influence over networks. Next, we introduce a distributed message passing algorithm to compute the Harmonic Influence Centrality of each node: its design is based on an intuitive analogy between social and electrical networks. Although our convergence analysis assumes the networks to have no cycle, the algorithm can be successfully applied on general graphs.
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一种评价社会影响力的信息传递算法
在本文中,我们定义了社会网络中节点中心性的一个新的度量,即谐波影响中心性,这是在研究社会对网络的影响时自然出现的。接下来,我们引入一种分布式消息传递算法来计算每个节点的谐波影响中心性:其设计基于社交网络和电力网络之间的直观类比。虽然我们的收敛性分析假设网络没有循环,但该算法可以成功地应用于一般图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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