社交网络用户影响力量化模型研究——以新浪微博为例

Study on User Influence Quantitative Model of Social Network——Taking Sina Microblog for Example

[目的/意义]社交网络用户影响力对信息的传播有显著影响,如何对用户影响力进行准确的量化判定,是目前亟待解决的问题。[方法/过程]以新浪微博为研究对象,通过非监督类神经网络模型中的增长阶层式自组织映像图来分析社交媒体用户各领域影响力,给出微博用户影响力的量化评估方法,综合考虑用户所发表言论的价值性与话题性以及用户在社群网络结构中的重要性。[结果/结论]实验结果显示,所提出的用户影响力评估方法,能够有效地将使用者不同面向的影响力以量化的方式来表示,并准确呈现不同时点的用户影响力。

[Purpose/Significance]The influence of social network user has significant impact on the communication of information.How to quantify the influence of users accurately is an urgent problem to be solved.[Method/Process]This study takes Sina microblog as the research object,analyzes the influence of social media users in various fields through the growth class self-organizing image map in the unsupervised neural network model,gives the quantitative evaluation method of the influence of microblog users,and considers the value and topic of user＇s speech and the importance of user＇s group network structure in the society.[Result/Conclusion]From the experimental results,we can see that,user influence evaluation method proposed in this study can effectively express the influence of users in different ways,and accurately show the influence of users at different time points.