模糊社交网络中中心度测量的新概念

Rupkumar Mahapatra, Sovan Samanta, M. Pal
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引用次数: 0

摘要

社交网络最关键的任务是确定中心节点。文献中记载了许多确定中心性的方法。它通过中心节点传播新闻、广告和其他内容,为在线商务做出了贡献。现有方法捕捉节点的直接可达性。本研究介绍了一种在模糊环境中量化中心性的新方法。这种测量方法考虑了节点的可达性及其直接连接。研究证明了该方法的几个关键特性。我们使用了一个小型 Facebook 网络来说明这个问题。此外,适当的表格和图表还展示了与现有中心度测量方法的比较研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New concept of centrality measurement in fuzzy social networks
The most critical task of a social network is to identify a central node. Numerous methods for determining centrality are documented in the literature. It contributes to online commerce by disseminating news, advertisements and other content via central nodes. Existing methods capture the node’s direct reachability. This study introduces a novel method for quantifying centrality in a fuzzy environment. This measurement takes into account the reachability of nodes and their direct connections. Several critical properties have been demonstrated. A small Facebook network is used to illustrate the issue. Additionally, appropriate tables and graphs present a comparative study with existing methods for centrality measurement.
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