Publication Type

Conference Proceeding Article

Publication Date

4-2013

Abstract

As a micro-blogging service, Twitter differs from other social network services in two ways: 1) the absence of mutual consent in establishing follow links and 2) being a mixture of news media and social network. A key question to ask in better understanding Twitter user behavior is which part of a user’s Twitter network reflects one’s real-life social network. TwiCube is an online tool that employs a novel algorithm capable of identifying a user’s real-life social community, which we call the user’s off-line community, purely from examining the link structure among the user’s followers and followees. Based on the identified off-line community, TwiCube provides a summary of the user’s interests, tweeting habits and neighborhood popularity analysis. Evaluations from real Twitter users demonstrate that our off-line community detection approach achieves high precision and recall in most cases.

Discipline

Communication Technology and New Media | Databases and Information Systems

Research Areas

Data Management and Analytics

Publication

Database Systems for Advanced Applications: 18th International Conference, DASFAA 2013, Wuhan, China, April 22-25, 2013. Proceedings, Part II

Volume

7826

Issue

2

First Page

458

Last Page

462

ISSN

0302-9743

ISBN

9783642374494

Identifier

10.1007/978-3-642-37450-0_36

Publisher

Springer Verlag

City or Country

Wuhan, China

Copyright Owner and License

LARC

Additional URL

http://dx.doi.org/10.1007/978-3-642-37450-0_36

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