Social network based microblog user behavior analysis
Social network based microblog user behavior analysis
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DOI：
10.1016/j.physa.2012.12.008
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发表时间：
2013-04
影响因子：
3.3
通讯作者：
Q. Yan;Lianren Wu;Lan Zheng
中科院分区：
文献类型：
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作者：
Q. Yan;Lianren Wu;Lan Zheng
微博对信息传播的影响越来越明显。通过将关注行为和被关注行为分别表征为出度和入度，构建了一个微博社会网络。它具有连通图直径短、平均路径短和平均聚类系数高的特点。微博的出度、入度和总发布量的分布呈现幂律特征。微博总数分布指数与每个用户的热度呈负相关。随着阶数的增加，指数下降的速度变慢。在实证分析的基础上，提出了一个基于社会网络的人的动力学模型，指出诱导驱动和自发驱动是微博发布行为的主要原因。模型的仿真结果与实际情况吻合较好。
The influence of microblog on information transmission is becoming more and more obvious. By characterizing the behavior of following and being followed as out-degree and in-degree respectively, a microblog social network was built in this paper. It was found to have short diameter of connected graph, short average path length and high average clustering coefficient. The distributions of out-degree, in-degree and total number of microblogs posted present power-law characters. The exponent of total number distribution of microblogs is negatively correlated with the degree of each user. With the increase of degree, the exponent decreases much slower. Based on empirical analysis, we proposed a social network based human dynamics model in this paper, and pointed out that inducing drive and spontaneous drive lead to the behavior of posting microblogs. The simulation results of our model match well with practical situation.