2010 | OriginalPaper | Buchkapitel
Social Network Data and Practices: The Case of Friendfeed
verfasst von : Fabio Celli, F. Marta L. Di Lascio, Matteo Magnani, Barbara Pacelli, Luca Rossi
Erschienen in: Advances in Social Computing
Verlag: Springer Berlin Heidelberg
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Due to their large worldwide adoption, Social Network Sites (SNSs) have been widely used in many global events as an important source to spread news and information. While the
searchability
and
persistence
of this information make it ideal for sociological research, a quantitative approach is still challenging because of the size and complexity of the data. In this paper we provide a first analysis of Friendfeed, a well-known and feature-rich SNS.