Data Science Journal
Online ISSN : 1683-1470
Contributed Papers
Multi-data Mining for Understanding Leadership Behavior
Naohiro MatsumuraYoshihiro Sasaki
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ジャーナル フリー

2007 年 6 巻 p. S61-S69

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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.
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