Analyzing Opinion Formation in Online Social Networks - Mining Services for Online Market Research

Kaiser C, Kröckel J, Bodendorf F (2011)


Publication Type: Conference contribution, Original article

Publication year: 2011

Publisher: IEEE

Edited Volumes: Proceedings - 2011 Annual SRII Global Conference, SRII 2011

City/Town: San Jose

Pages Range: 384-391

Conference Proceedings Title: Proceedings of the 2011 Annual SRII Global Conference

Event location: San Jose, CA

DOI: 10.1109/SRII.2011.51

Abstract

Networking via the Internet is becoming very popular. Many people meet up in online social networks where they form friendships, share the same interests and discuss several topics. By interacting with each other, people influence one another's opinions. Analyzing opinion formation in online social networks yields significant information for market research. This paper introduces mining services which explain and predict opinion formation of the network members on the basis of their social relationships by combining methods from text mining and swarm intelligence. The approach is illustrated by taking an online gaming community as an example. © 2011 IEEE.

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How to cite

APA:

Kaiser, C., Kröckel, J., & Bodendorf, F. (2011). Analyzing Opinion Formation in Online Social Networks - Mining Services for Online Market Research. In Proceedings of the 2011 Annual SRII Global Conference (pp. 384-391). San Jose, CA: San Jose: IEEE.

MLA:

Kaiser, Carolin, Johannes Kröckel, and Freimut Bodendorf. "Analyzing Opinion Formation in Online Social Networks - Mining Services for Online Market Research." Proceedings of the Proceedings of the 2011 Annual SRII Global Conference, San Jose, CA San Jose: IEEE, 2011. 384-391.

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