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

Suggested Citation

Kaiser, C., Kröckel, J., & Bodendorf, F. (2011). Analyzing Opinion Formation in Online Social Networks – Mining Services for Online Market Research. Proceedings of the 2011 Annual SRII Global Conference, 384–391, San Jose, CA, United States. https://doi.org/10.1109/SRII.2011.51

Year

2011

Authors
Dr. Carolin Kaiser,
Dr. Johannes Kröckel,
Prof. Dr. Freimut Bodendorf
Publication title
Analyzing Opinion Formation in Online Social Networks - Mining Services for Online Market Research
Publication
Peer-reviewed

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

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. 

Authors

  • Dr. Carolin Kaiser, Head of Artificial Intelligence, NIM, carolin.kaiser@nim.org
  • Dr. Johannes Kröckel, University of Erlangen-Nuremberg
  • Prof. Dr. Freimut Bodendorf, Department of Information Systems University of Erlangen-Nuremberg, Nuremberg, Germany

Contact

Head of Artificial Intelligence

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