Capturing Knowledge Worker Behavior Based on Information Diffusion Theory

Authors:
Masayuki Ishikawa;Peter Geczy;Noriaki Izumi;Takahira Yamaguchi
Affiliations:
Keio University, 3-14-1 Hiyoshi Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan;National Institute of Advanced Industrial Science Technology (AIST);National Institute of Advanced Industrial Science Technology (AIST);Keio University, 3-14-1 Hiyoshi Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan
Venue:
Proceedings of the 2008 conference on Knowledge-Based Software Engineering: Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering
Year:
2008

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Abstract

By analyzing the information diffusion in a studied large scale corporate portal, we discovered that only small population of users is sufficient to initiate the widespread of innovation. Applying these findings, we conducted analytic experiment for novel recommendation algorithm based on the browsing features of identified selected users and discovered that the first 10 users accessing a particular page play the key role in the information spread.