Microblog searching module based on community detection

Authors:
Pengxiang Lin;Tingting He;Yong Zhang
Affiliations:
School of Computer, Central China Normal University, WuHan, China;School of Computer, Central China Normal University, WuHan, China;School of Computer, Central China Normal University, WuHan, China
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
Year:
2013

Citing 8
Cited 0

Term-weighting approaches in automatic text retrieval

Information Processing and Management: an International Journal
Authoritative sources in a hyperlinked environment

Journal of the ACM (JACM)
Social Computing: From Social Informatics to Social Intelligence

IEEE Intelligent Systems
Searching Social Media Streams on the Web

IEEE Intelligent Systems
Design and implementation of a data analytics infrastructure in support of crisis informatics research (NIER track)

Proceedings of the 33rd International Conference on Software Engineering
How about micro-blogging service in China: analysis and mining on sina micro-blog

Proceedings of 1st international symposium on From digital footprints to social and community intelligence
Characterizing User Behavior in Weibo

MUSIC '12 Proceedings of the 2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing
A software architecture for Twitter collection, search and geolocation services

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

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 expand the query word using the Hownet instead of the exact word match. The application of the Microblog Searching Module proves that the module can search the interesting topic and persons conveniently.