Exploring Social Networks with Topical Analysis

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As the number of social networking services (SNS) and their users grow, so does the complex-ity of individual networks as well as the amount of information to be consumed by the users. It is inevitable to reduce the complexity and infor-mation overload, and we have embarked explor-ing topical aspects of SNS to form refined topic-based semantic social networks. Our current work focuses on conversational aspects of SNS and attempt to utilize the notions of topic diversi-ty and topic purity between two users sharing conversations. This topic-based analysis of SNS makes it possible to show different types of users and their conversational characteristics. It also shows the possibility of breaking down a huge “syntactic” social network into topic-based ones based on different interaction types, so that the resulting semantic social networks can be useful in designing various targeted services on online social networks.
Publisher
International World Wide Web Conferences Committee
Issue Date
2012-04-20
Language
English
Citation

The 21st International World Wide Web Conference

URI
http://hdl.handle.net/10203/171568
Appears in Collection
CS-Conference Papers(학술회의논문)

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