基于社团发现的舆论大V影响下“多对多”用户交互模式研究

Research on “Many-to-Many” User Interaction Model under the Influence of Opinion Leaders

大数据时代的来临使得在线社交网络中,舆论大V与普通用户影响力差异日趋明显。以共同受到舆论大V影响的普通用户的行为表现为研究对象,从"舆论领袖—普通用户"的"一对多"信息传播模式入手,在宏观层面分析用户行为随时间的变化,在微观层面引入社团发现算法探寻用户间的交互特征。实证方面,选取两个案例、六个试验样本进行试验,发现在"一对多"影响下的普通用户之间存在"多对多"用户交互模式。实验结果表明,"多对多"模式交互周期较短,同时发现帕累托法则适用于交互形成的社团。

The advent of big data age makes the influence of public opinion leaders and ordinary users significantly different. On the basis of ＂one-to-many＂ information dissemination mode between public opinion leaders and ordinary users, this paper analyzes the changes of user behavior with time at the macro level, and at the micro level, it analyzes the characters of ordinary users with the help of community detection algorithm. To carry out empirical analysis, two cases as test samples are selected, and it is found that the ＂many-to-many＂ interaction mode exists under the influence of the ＂one-to-many＂ mode. The results show that the ＂many-to-many＂ mode has a shorter interaction period, and the Pareto law can be applied to communities, which are formed through interaction.