b微信网络中城市节点社区分区的地理位置聚集现象

Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management Pub Date : 2016-10-31 DOI:10.1145/3017611.3017626

Chuan Ai, Bin Chen, Lingnan He, Yichong Bai, Xingbing Li, Zhichao Song

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引用次数: 1

摘要

微信是中国广泛使用的在线社交媒体应用程序。本文在分析微信HTML5大数据的基础上，首先获得地理互动活动网络(GIAN)。然后通过GIAN的社区检测分析微信网络的地理特征。结果表明，同一社区内的城市在地理上通常保持紧密，微信网络可以划分为社区，其中有五个社区是稳定的，并且包含了中国大多数城市。

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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The phenomenon of geolocation aggregation of city nodes community partition in network of WeChat

WeChat is a widely used online social media application in China for its popularity. Based on the analysis of big HTML5 data from WeChat, the Geography Interaction Activity Network (GIAN) is acquired first in this paper. Then we analyze the geographical characteristics of WeChat network through the community detection in GIAN. It is concluded that the cities in the same community stay close geographically usually, and the WeChat networks can be partitioned into communities in which there are five communities that are stable and contains the majority of cities in China.

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Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management

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