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面向舆情监测的微博转世账户研判模型
引用本文:卜俊丽,彭 灿,郑 毅,黄九鸣,周 斌.面向舆情监测的微博转世账户研判模型[J].通信学报,2014,35(Z2):31-232.
作者姓名:卜俊丽  彭 灿  郑 毅  黄九鸣  周 斌
作者单位:国防科技大学 计算机学院,湖南 长沙 410073
基金项目:国家高技术研究发展计划(“863”计划)基金资助项目(2012AA013002)
摘    要:微博社交网络在在线社交平台中扮演着重要角色,微博言论对网络舆论的贡献越来越大,网络舆论监测存在巨大挑战。转世账户是在网络舆论监测过程中出现的一类特殊的账户。加强这些账户的监测力度对于监测网络舆论有着很大的意义,实施监测的首要前提是发现这些账户。针对转世账户的特点进行模型设计,提出了一种基于时序和相似性的转世账户研判模型,并基于新浪数据进行了有效性的验证。

关 键 词:微博  转世账户  时序  相似性
收稿时间:7/7/2014 12:00:00 AM

Model to find incarnated accounts in micro-blogging for public opinion supervision
Jun-li BU,Can PENG,Yi ZHENG,Jiu-ming HUANG,Bin ZHOU.Model to find incarnated accounts in micro-blogging for public opinion supervision[J].Journal on Communications,2014,35(Z2):31-232.
Authors:Jun-li BU  Can PENG  Yi ZHENG  Jiu-ming HUANG  Bin ZHOU
Affiliation:Department of Computer Science,National University of Defense Technology,Changsha 410073,China
Abstract:Micro-blogging has played an important role in online social networks, and it has become a valuable source of public opinions. So there is a huge challenge to supervise public opinions in micro-blogging network. Incarnated accounts is a special kind of accounts that appeared during the supervision of public opinions. Strengthening the supervision of these accounts has great significance. The precondition for supervision is to discover them. In order to find incarnated accounts, a model targeted their characteristic based on the approach of timing and similarity is proposed, then the effectiveness of the model in Sina micro-blogging is verified.
Keywords:micro-blogging  incarnated accounts  timing  similarity
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