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Research Papers

Multi-data Mining for Understanding Leadership Behavior

Authors
  • Naohiro Matsumura
  • Yoshihiro Sasaki

Abstract

We propose an approach for understanding leadership behavior in dot-jp, a non-profit organization, by analyzing heterogeneous multi-data composed of questionnaires and mailing list archives. Attitudes toward leaders were obtained from the questionnaires, and human networks were extracted from the mailing list archives. By integrating the results, we discovered that leaders must receive messages from other people as well as send messages to construct reliable relationships.
Year: 2007
Volume 6
Page/Article: S61-S69
DOI: 10.2481/dsj.6.S61
Published on Mar 28, 2007
Peer Reviewed