基于用户属性与覆盖范围的意见领袖挖掘研究

摘要

In view of the interaction and uncertainty of micro-blog information,this paper proposed a method for mining opinion leaders based on the user attributes and coverage.The method calculated the attribute value and the coverage area of users separately.According to the loyalty of the fans to get the user'attribute ranking.It used the topical similarity as weight to build contribution diagram,and obtained each node's coverage by traversing.Finally,it got final ranking of opinion leader combining each node's coverage rate with attribute values.The experimental results show the proposed method has better effect compared with other method of mining opinion leaders.%针对微博信息的交互性和不确定性,提出一种基于用户属性与覆盖范围的意见领袖研究方法.该方法分别计算用户属性值和用户传播覆盖范围,根据粉丝忠实程度计算出用户属性值从而得到用户属性排名;利用用户间微博内容主题相似度构建贡献图,获得用户覆盖范围排名.最后,结合用户属性排名和用户覆盖范围排名生成最终的意见领袖排名.实验结果表明,该方法相比其他意见领袖挖掘方法有更好的效果.