Bodendorf F, Kaiser C (2009)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2009
Publisher: ACM
Edited Volumes: International Conference on Information and Knowledge Management, Proceedings
City/Town: New York
Pages Range: 65-68
Conference Proceedings Title: Proceedings of the 2nd Workshop on Social Web Search and Mining
Event location: Hong Kong
ISBN: 978-1-60558-806-3
URI: http://doi.acm.org/10.1145/1651437.1651448
Today, online social networks in the World Wide Web become increasingly interactive and networked. Web 2.0 technologies provide a multitude of platforms, such as blogs, wikis, and forums where for example consumers can disseminate data about products and manufacturers. This data provides an abundance of information on personal experiences and opinions which are extremely relevant for companies and sales organizations. A new approach based on text mining and social network analysis is presented which allows detecting opinion leaders and opinion trends. This allows getting a better understanding of the opinion formation. The overall concept is presented and illustrated by an example. Copyright 2009 ACM.
APA:
Bodendorf, F., & Kaiser, C. (2009). Detecting Opinion Leaders and Trends in Online Social Networks. In Proceedings of the 2nd Workshop on Social Web Search and Mining (pp. 65-68). Hong Kong: New York: ACM.
MLA:
Bodendorf, Freimut, and Carolin Kaiser. "Detecting Opinion Leaders and Trends in Online Social Networks." Proceedings of the 2nd ACM Workshop on Social Web Search and Mining, SWSM'09, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009, Hong Kong New York: ACM, 2009. 65-68.
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