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一种社交网络用户领导者挖掘算法
引用本文:宋倩倩,张波,胡斯卉,徐倩,彭如香.一种社交网络用户领导者挖掘算法[J].上海师范大学学报(自然科学版),2016,45(5):573-579.
作者姓名:宋倩倩  张波  胡斯卉  徐倩  彭如香
作者单位:上海师范大学,上海师范大学,上海师范大学,上海师范大学,公安部第三研究所
基金项目:国家自然科学基金(61572326,61103069,71171148);上海市教委科研创新项目(13YZ052);信息网络安全公安部重点实验室开放课题项目(C14602);上海师范大学产学研项目(DCL201302)
摘    要:社交网络中的用户领导者挖掘是用户影响力分析的重要问题.提出一种基于用户影响力评估的社交网络用户领导者挖掘算法.首先,描述问题模型以及模型相关定义;其次,提出了基于用户影响力和用户活跃度计算的用户领导力评估方法;最后,依据用户领导力和用户中心度计算实现用户领导者的挖掘.实验印证了该方法对于社交网络挖掘用户领导者的可行性和有效性.

关 键 词:社交网络    用户领导者挖掘    用户影响力    活跃度    中心性
收稿时间:2015/6/8 0:00:00

A mining algorithm of user leader in social network
SONG Qianqian,ZHANG Bo,HU Sihui,XU Qian and PENG Ruxiang.A mining algorithm of user leader in social network[J].Journal of Shanghai Normal University(Natural Sciences),2016,45(5):573-579.
Authors:SONG Qianqian  ZHANG Bo  HU Sihui  XU Qian and PENG Ruxiang
Institution:College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,College of Information,Mechanical and Electrical Engineering,Shanghai Normal University and The Third Research Institute of Ministry of Public Security
Abstract:Mining user leader in social network is an important issue for user influence management.In this paper,a user leader mining algorithm in social network based on user influence assessments is proposed,which comprises aspects as follows:firstly,the model of proposed algorithm and its related definitions are described formally;secondly,a user leadership degree evaluation method is presented based on user influence and user activeness calculation;and finally,the user leader mining algorithm is proposed based on two factors of user leadership degree and user centrality.Furthermore,the experimental results show the feasibility and effectiveness of our proposed algorithm.
Keywords:social network  user leader mining  user influence  activeness  centrality
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