Capturing Knowledge Worker Behavior Based on Information Diffusion Theory
Masayuki Ishikawa, Peter Géczy, Noriaki Izumi, Takahira Yamaguchi · Frontiers in artificial intelligence and applications · 2008
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.