微博用户影响力作为影响力研究在微博领域的延伸,已逐渐成为一个研究热点。该文在传统影响力度量指标的基础上,结合微博价值、消息传播过程中产生的影响力扩散以及用户的活跃程度,提出了三种新影响力度量方法,包括微博影响力、行为影响力以及活跃度影响力。此外,通过有效融合上述三种新度量方法提出了新的微博用户影响力度量模型。最后,针对不同影响力度量指标,该文对它们的内部关系进行分析,并阐述了影响力度量指标之间关联程度及形成原因。
Abstract
As an extension of the user influence research, micro-blog user influence mining is becoming a hot research issue. Based on traditional user influence measures, we propose three novel methods to mining micro-blog user influence in terms of the value of micro-blogging, the proliferation influence of message propagation and the user active level. Meanwhile, a user influence model including tweet influence, behavior influence, and activity influence is presented. Finally, for different influence indicators, we describe their internal relations with discussions for possible reasons.
关键词
用户影响力 /
新浪微博 /
传播路径
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Key words
user influence /
sina microblog /
propagation path
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参考文献
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脚注
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基金
国家自然科学基金(60973068,61277370);辽宁省自然科学基金(201202031,2014020003)
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