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Microblog Searching Module Based on Community Detection

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成果类型:
期刊论文、会议论文
作者:
Lin, Pengxiang*;He, Tingting(何婷婷);Zhang, Yong
通讯作者:
Lin, Pengxiang
作者机构:
[He, Tingting; Lin, Pengxiang; Zhang, Yong] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
通讯机构:
[Lin, Pengxiang] C
Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
语种:
英文
关键词:
Sina-Microblog;social network;Label-Influence-Algorithm;microblog tag;query expansion
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2013
卷:
7995
页码:
112-119
会议名称:
9th International Conference on Intelligent Computing (ICIC)
会议论文集名称:
Lecture Notes in Computer Science
会议时间:
JUL 28-31, 2013
会议地点:
Nanning, PEOPLES R CHINA
会议主办单位:
[Lin, Pengxiang;He, Tingting;Zhang, Yong] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
会议赞助商:
Tongji Univ, Guangxi Univ Nationalities, IEEE Computat Intelligence Soc, Int Neural Network Soc, National Science Foundation China
主编:
Huang, DS Bevilacqua, V Figueroa, JC Premaratne, P
出版地:
HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者:
SPRINGER-VERLAG BERLIN
ISBN:
978-3-642-39479-9; 978-3-642-39478-2
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
In this paper, we investigate the current software architecture of Twitter searching, and propose a new Microblog Searching Module (MSM) to retrieve microblog messages. MSM mainly consists of three parts. The first one is community detection with Label-Influence-Algorithm (LIA). We have conducted series of experiments in two data sets downloaded from the Sina-Microblog. And the results show that the modularity measure Q of the communities discovered by LIA is well improved. The second one is extracting microblog tags of a microblog user and the community. The last part is designing a module to...

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