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Analyzing Computer Mediated Communication Logs Using A Markov Model

In: Creating Collaborative Advantage Through Knowledge And Innovation

Author

Listed:
  • Shantanu Pai

    (Drexel University, College of Information Science and Technology, 3141 Chestnut Street, Philadelphia, PA 19104, USA)

  • Qiping Zhang

    (Drexel University, College of Information Science and Technology, 3141 Chestnut Street, Philadelphia, PA 19104, USA)

Abstract

One of the challenges in knowledge management in a computer-mediated environment is how to analyze the huge log file. Markov chain models have been widely used for analyzing several types of sequential activities such as web navigation and human-computer interaction analysis. However, the Markov chain analysis of computer-mediated communication is still unexplored. In this paper we consider the dyadic activity of computer mediated negotiation as sequential and having a temporal structure. The communication process is represented as a sequence of transition between states using a Markov model. We show that it is possible to discover probabilistic patterns in the negotiation activity by discovering sequences that may characterize the negotiation activity.

Suggested Citation

  • Shantanu Pai & Qiping Zhang, 2007. "Analyzing Computer Mediated Communication Logs Using A Markov Model," World Scientific Book Chapters, in: Suliman Hawamdeh (ed.), Creating Collaborative Advantage Through Knowledge And Innovation, chapter 18, pages 279-288, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812707482_0018
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