[1]俞淮 郑倩冰 毛羽刚 朱培栋.基于局部中心度的在线论坛意见领袖发现算法[J].计算机技术与发展,2012,(04):9-11.
　YU Huai,ZHENG Qian-bing,MAO Yu-gang,et al.An Algorithm for Online Forum Opinion Leaders Discovery Based on Local Centrality[J].,2012,(04):9-11.
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基于局部中心度的在线论坛意见领袖发现算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年04期
页码:
9-11
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
An Algorithm for Online Forum Opinion Leaders Discovery Based on Local Centrality
文章编号:
1673-629X（2012）04-0009-03
作者:
俞淮 郑倩冰 毛羽刚 朱培栋
国防科学技术大学计算机学院
Author(s):
YU Huai; ZHENG Qian-bing; MAO Yu-gang; ZHU Pei-dong
School of Computer Science,National University of Defense Technology
关键词:
意见领袖; 社会网络分析; 在线论坛; 局部中心度
Keywords:
opinion leader;  social network analysis;  online forum;  local centrality
分类号:
TP393
文献标志码:
A
摘要:
网络舆论形成过程中,其走向很大程度上受到意见领袖的影响。由于网络舆论的影响力不断增大,国内外学者也开始把研究重点放在网络论坛意见领袖上。从论坛帖子数据中提取回复关系,映射为发帖者和回帖者之间的关联关系,从而构造出一个社群网络。某个体的入度说明其被关注的程度,局部中心度直观地反映出与某个体直接联系的个体数目。基于入度和局部中心度的思想,并分析个体之间的交互行为,提出一种在线论坛的意见领袖发现算法。以某论坛为实验对象,找出其中的意见领袖,并通过分析实验结果验证文中算法的正确性
Abstract:
During the formation of network public opinion,opinion leaders in the network will greatly affect the direction of network public opinion.With the expansion of the influence of network public opinion,domestic and foreign scholars have begun to focus on the study of opinion leaders in online forums.Investigated an online forum and constructed a social network with the replying relations between posts and comments mapped to relations between posters and comment authors.Individual in-degree indicates the degree of concern while local centrality of an individual directly reflects the number of individuals that individual has direct contact with.Proposed an algorithm for discovering opinion leaders in online forums based on the idea of in-degree and local centrality,and analyse interactions between individuals.Took a forum as a subject,found out the opinion leaders,and verified the correctness of the algorithm by analyzing the experimental results

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备注/Memo

备注/Memo:
国家自然科学基金项目（60873214,61170285）俞淮（1984-），男，江西婺源人，硕士，主要研究领域为社会网络分析
更新日期/Last Update: 1900-01-01