基于高权重词集的论坛影响力发现研究  

Research of Influence Discovery in BBS Based on High Weight Words Collection

作　　者：王丹[1] 张伟哲[1] 卢珺珈[1] 

机构地区：[1]哈尔滨工业大学网络与信息安全技术研究中心,哈尔滨150001

出　　处：《微计算机信息》2011年第10期99-101,共3页Control & Automation

摘　　要：网络论坛是中国网民一个重要的意见传播渠道,论坛舆论领袖对网络舆论导向起着至关重要的作用,影响力发现为越来越多的研究人员所关注。针对传统的在线论坛中有影响力主题计算方法的不足,本文将论坛中帖子间的回复关系映射为发帖者之间的关联关系,构造出一个社群网络,提出高权重词集的概念,基于此,通过计算词语在回帖传播链上的影响力,设计并实现了论坛中成员的影响力计算模型。通过实验验证了该模型在时间、空间复杂性上的优越性,为进一步研究复杂网络中的人物行为奠定了基础。BBS as an important news and information dissemination channel in China has been a unneglect phenomenon,where the BBS opinion leaders play significant roles in formation and guidance of public opinion.Influence discovery research draws more and more attention from researchers.Concerning the shortage of traditional method for calculating influential topic,in this paper,we investigate an online forum and construct a social network with the replying relations between comments mapped to the comment authors＇ relations.This paper proposes a concept named high weight words collection and on the basis of it,a new model was presented by calculating word＇s influence on re-comment chain,our model can discover the influential people in BBS community.Experimental results show that the model was superior of time and space complexity.It has laid a foundation for further study of the characters in the behavior of complex networks.

关 键 词：网络论坛 影响力发现 高权重词集 回帖传播链 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]