Online Community Perceiving Method on Social Network

DOI

10.2991/ccis-13.2013.99How to use a DOI?

Keywords

online community perceiving; social network; web crawler;filtering mechanism

Abstract

How to perceivecommunity with the same interests and hobbies on social network is a critical problem for advertisement, promotion and network security. In this paper, we propose a novel method for online communityperceiving, which contains three user-level filtering layers: user profile, user behavior and user relationships.This three-layer filtering mechanism can greatly improve the accuracy and efficiency of onlineperceiving specific community. In order to testify this method, we design a web crawler forfurther determining the identity of specific nodesby breadth-firststrategy.The experiments onTwitter Chinese users demonstrate that the precision of our online community perceiving method can reach up to 89%.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiang Jingchi
AU  - Yi Chengqi
AU  - Bao Yuanyuan
AU  - Xue Yibo
PY  - 2013/11
DA  - 2013/11
TI  - Online Community Perceiving Method on Social Network
BT  - Proceedings of the The 1st International Workshop on Cloud Computing and Information Security
PB  - Atlantis Press
SP  - 428
EP  - 431
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccis-13.2013.99
DO  - 10.2991/ccis-13.2013.99
ID  - Jingchi2013/11
ER  -