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  • 标题:Multi-data Mining for Understanding Leadership Behavior
  • 本地全文:下载
  • 作者:Naohiro Matsumura ; Yoshihiro Sasaki
  • 期刊名称:Data Science Journal
  • 电子版ISSN:1683-1470
  • 出版年度:2015
  • 卷号:6
  • DOI:10.2481/dsj.6.S61
  • 语种:English
  • 出版社:Ubiquity Press
  • 摘要: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.
  • 关键词:Leadership behavior; IDM; Non-profit organization (NPO)
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