社会网络中心性计算的一种表现

Piotr Bródka, Katarzyna Musial, Przemyslaw Kazienko
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引用次数: 31

摘要

要分析大型社交网络,通常需要大量的努力和资源。网络分析提供了许多中心性度量,在调查社会网络特征的过程中被成功地利用。其中之一是节点位置,它可以用来评估给定节点在整个社会网络或较小的子群体中的重要性。提出了三种节点位置评估算法:PIN Edges、PIN Nodes和PIN hybrid。此外,已经开发和测试了不同的学位和非学位声望度量算法。实验表明,基于边缘处理的算法总是比其他算法更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Performance of Centrality Calculation in Social Networks
To analyze large social networks a lot of effort and resources are usually required. Network analysis offers many centrality measures that are successfully utilized in the process of investigating the social network characteristics. One of them is node position, which can be used to assess the importance of a given node within either the whole social network or the smaller subgroup. Three algorithms that can be utilized in the process of node position evaluation are presented in the paper: PIN Edges, PIN Nodes, and PIN hybrid. Also, different algorithms for indegree and outdegree prestige measures have been developed and tested. According to the experiments performed, the algorithms based on processing of edges are always faster than the others.
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