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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.
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We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.