Traffic in Social Media I: Paths Through Information Networks

Wikipedia is used every day by people all around the world, to satisfy a variety of information needs. We crosscorrelate multiple Wikipedia traffic data sets to infer various behavioral features of its users: their usage patterns (e.g., as a reference or a source); their motivations (e.g., routine tasks such as student homework vs. information needs dictated by news events); their search strategies (how and to what extent accessing an article leads to further related readings inside or outside Wikipedia); and what determines their choice of Wikipedia as an information resource. We primarily study article hit counts to determine how the popularity of articles (and article categories) changes over time, and in response to news events in the Englishspeaking world. We further leverage logs of actual navigational patterns from a very large sample of Indiana University users over a period of one year, allowing us unprecedented ability to study how users traverse an online encyclopedia. This ...

• Type: Journal
• Year: 2010
• Where: SOCIALCOM
• Authors: Jacob Ratkiewicz, Alessandro Flammini, Filippo Menczer
• Keywords: Multiple Wikipedia Traffic, Security Privacy, SOCIALCOM 2010, Various Behavioral Features, Wikipedia