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Productive Multivocality in the Analysis of Group Interactions pp 225–242Cite as

Application of Social Network Analysis to Collaborative Problem Solving Discourse: An Attempt to Capture Dynamics of Collective Knowledge Advancement

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Part of the book series: Computer-Supported Collaborative Learning Series ((CULS,volume 15))

Abstract

This chapter presents an analysis of collaborative knowledge building in the PLTL corpus using a Social Network Analysis approach. The goal is to present an analysis of collective knowledge advancement that goes beyond what has been accomplished using existing methodologies and offers a unique bird’s eye view of how knowledge advancement proceeds over time.

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References

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Author information

Authors and Affiliations

  1. Shizuoka University, Shizuoka, Japan

    Jun Oshima, Yoshiaki Matsuzawa & Ritsuko Oshima

  2. InfoCom, Tokyo, Japan

    Yusuke Niihara

Authors
  1. Jun Oshima
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  2. Yoshiaki Matsuzawa
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  3. Ritsuko Oshima
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  4. Yusuke Niihara
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Corresponding author

Correspondence to Jun Oshima .

Editor information

Editors and Affiliations

  1. Dept. of Information & Computer Sciences, University of Hawai'i at Manoa, Honolulu, Hawaii, USA

    Daniel D. Suthers

  2. ICAR Research Lab, CNRS — University of Lyon, LYON, France

    Kristine Lund

  3. Language Technologies Inst. & HCI Inst., Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

    Carolyn Penstein Rosé

  4. Problemshift, Inc., Windsor, Ontario, Canada

    Chris Teplovs

  5. University of Hong Kong Centre for Info. Technology in Education, Hong Kong, Hong Kong SAR

    Nancy Law

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Oshima, J., Matsuzawa, Y., Oshima, R., Niihara, Y. (2013). Application of Social Network Analysis to Collaborative Problem Solving Discourse: An Attempt to Capture Dynamics of Collective Knowledge Advancement. In: Suthers, D., Lund, K., Rosé, C., Teplovs, C., Law, N. (eds) Productive Multivocality in the Analysis of Group Interactions. Computer-Supported Collaborative Learning Series, vol 15. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-8960-3_12

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