基于用户行为的微博用户社会影响力分析

被引:76
作者
毛佳昕
刘奕群
张敏
马少平
机构
[1] 清华大学智能技术与系统国家重点实验室
[2] 清华大学信息科学与技术国家实验室(筹)
[3] 清华大学计算机科学与技术系
关键词
用户行为分析; 社会网络; 社会影响力; 信息传播; 社会计算;
D O I
暂无
中图分类号
G206 [传播理论];
学科分类号
050302 ;
摘要
社会影响力分析是当前在线社会网络研究中的热点方向.随着微博成为了一种至关重要的大众媒体,更好的分析和衡量微博用户的社会影响力引起越来越广泛的关注.基于从新浪微博收集的大规模数据集,作者结合社会影响力在微博环境中的传播情况,分析了用户行为因素之间的关系.然后提出了一个通过预测用户传播信息能力大小来分析和度量用户社会影响力的方法.该方法结合了来自社会网络结构和用户行为因素两方面的信息,获得了更好的影响力估计结果.基于大规模数据的实验结果表明,作者提出的方法是较为有效的.
引用
收藏
页码:791 / 800
页数:10
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