海量社交网络的实证分析与多层次视角

Qi Ye, Bin Wu, Yuan Gao, Bai Wang
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引用次数: 0

摘要

随着海量社交媒体的出现,海量社交网络引发了人们对数据分析的巨大兴趣。本文以4个移动通话图、1个固话图、2个合著网络和2个Email网络为研究对象,对多个大型社交网络进行了实证研究。我们发现呼叫图比合作网络和电子邮件网络更具有局部性。令我们惊讶的是,我们甚至发现在大多数提取的社区中,社区规模与其质量分数之间没有显著的关系。我们还发现一些非常庞大的群体具有很高的平均质量值,但我们无法在它们的平均质量值中找到普遍的“V”形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empirical Analysis and Multiple Level Views in Massive Social Networks
With the emergence of massive social media, massive social networks have led to a huge interest in data analysis. In this paper, we propose an empirical study on several massive social networks including 4 mobile call graphs, a fixed-line call graph, two co-authorship networks and two Email networks. We find that call graphs tend to be more locality than the co-authorship networks and Email networks. To our surprise, we even find that there is no significant relations between community sizes and their quality scores for most extracted communities. We also find that some very huge community with high mean quality values, and we can not find the universal ``V'' shape in their mean quality values.
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