基于社团信息传播能力分析的微博舆情热点监测  

Hotspot Monitoring of Public Opinion in Microblogging Based on Capacity Analysis of Information Dissemination Community

作　　者：陈刚[1] 林琛[2] 席耀一[1] 李弼程[1] 

机构地区：[1]信息工程大学,河南郑州450001 [2]南京政治学院,上海200433

出　　处：《信息工程大学学报》2015年第5期596-601,共6页Journal of Information Engineering University

基　　金：国家863计划资助项目(2011AA7032030D);国家社会科学基金资助项目(12ATQ005)

摘　　要：在分析微博舆情热点监测研究局限的基础上,从信息传播角度提出一种基于社团信息传播能力分析的微博舆情热点监测方法。该方法首先基于微博用户间信息交互构建微博信息交互网络;然后采用快速Newman社团发现算法挖掘信息交互网络中的信息传播社团;最后根据用户传播影响力和用户间交互紧密度对社团的传播能力进行评估,并通过对具有较强信息传播能力社团中信息交互的监测实现微博潜在舆情热点的挖掘。实验结果表明,微博信息传播社团的信息传播能力与热点微博信息在社团中的真实传播效果具有较高的拟合度,通过对强传播能力社团中信息交互情况的实时监测,可发现潜在舆情热点信息。The paper analyzes the shortcomings of hotspot monitoring of public opinion research inmicroblogging, and then presents a new method based on capacity analysis of information dissemina-tion community from an information propagation perspective. Firstly, we build an information inter-action network based on the information interaction behavior between microbloggers; secondly, wemine all information dissemination communities from the network with the fast Newman communitydiscovery algorithm; finally, we estimate the dissemination capacity of each community based on theinfluence of users and the interactive tightness between users, and then use it to find the communi-ties with strong capacity. Experimental results show that the capacity of the information dissemina-tion community is consistent with that of the hot microblogs in community, and the potential hotspots can be found through monitoring information interactive behavior in communities with strongdissemination capacity.

关 键 词：舆情 微博 信息传播 传播社团 热点监测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]