On-Line communities making scense: a hybrid micro-blogging platform community analysis framework

Authors:
Cheng-Lin Yang;Yun-Heh Chen-Burger
Affiliations:
Artificial Intelligence Applications Institute, Centre for Intelligent Systems and Their Applications, School of Informatics, University of Edinburgh, UK;Artificial Intelligence Applications Institute, Centre for Intelligent Systems and Their Applications, School of Informatics, University of Edinburgh, UK
Venue:
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
Year:
2012

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Abstract

The upsurge of Micro-blogging platform attracts enterprises to use it as a public relationship tool. It also act as a new form of news source, journalists can hunt for next upcoming breaking news. It is worth to identify communities from it and reveal social relationships among community members in a timely manner. However, traditional SNA approaches are insufficient to achieve the requirement in a reasonable time. In this paper, we proposed a hybrid framework to tackle the problem. It is designed to identify the community with real social relationships automatically, that withstand dynamically changing content, have the ability to process fast and live-streaming data and provide a self-feedback mechanism to refine the result without human interference. The benefit of this framework is that average users should be able to employ it and to really understand communities in micro-blogging platforms without any or limited domain knowledge.