Web 2.0 provided internet users with a dynamic medium, where information is updated continuously and anyone can participate. Though preliminary anal- ysis exists, there is still little understanding on what exactly stimulates users to actively participate, create and share content in online communities.In this paper we present a methodology that aspires to identify and analyze those events that trigger web user activity, content creation and sharing in Web 2.0. Our ap- proach is based on user personality and motivation, and on the occurrence of events with a personal or global impact. The proposed methodology was applied on data collected from Flickr and analysis was per- formed through the use of statistics and data mining techniques.

5. Factors affecting online activity Feedback Events Personality Motivation Online Activity

6. 4-Step Methodology Social Network Crawling Data Mining and Statistical Analysis Data Preprocessing Towards Explaining Web Activity