基于领域划分的微博用户影响力分析

近年来微博作为一种新兴的社交网络逐渐被广大用户使用.微博信息简短、更新迅速、包含信息量大,给微博用户获取信息带来了诸多不便,因此,利用影响力分析的手段找到具有较大影响力的微博用户具有重大意义.微博内容较传统的媒体信息具有较强的时效性和权威性,同时微博用语也极其不规范,这给微博用户影响力的分析带来了极大的困难.首先对获取的微博用户信息进行领域的划分,采用基于微博内容和用户关注的方式将用户归类到其所属的领域.其中,采用新词发现以及特征扩展的方法来提高划分结果的准确性.然后,对各个领域的用户进行影响力分析,提出3种影响力传播模型,用户最终的影响力大小根据3种模型的结果进行加权计算.最后对实验结果进行分析、比较,证明了计算用户影响力的方法能取得较优的结果.

Research on Influence of Micro Blogging Based on Field Division

In recent years,as an emerging social network,Microblog is being used by a lot of users.The micro blogging platform contains a large amount of information and the update speed of the information is fast so that it often makes users can not find the information they need.Then,it is important to help users find the information which is sent by people who have a great influence.The content that the micro blogging platform publishes and updates is very fast,and the content is not standardized,so that the timeliness and authoritativeness tend to be more important.The purpose of research on influence of micro blogging users in this paper is to identify the influence of different users in different areas.This paper divided the users into different areas by using two different features which are the content of the micro blogging and the concerned relationship of the users.During this,we used the parallel new word recognition algorithm in the micro blogging content and semantic extensions on some important text feature to improve accuracy of the dividing result.Then we computed the influence of the users in all the classification using three models,and combined the result in different weight.At last,we tested the accuracy of the result and compared it with other ways.