Logo image
Back
Social network data and practices: The case of friendfeed
Conference proceeding   Peer reviewed

Social network data and practices: The case of friendfeed

Fabio Celli, Francesca Marta Lilja Di Lascio, Matteo Magnani, Barbara Pacelli and Luca Rossi
Advances in Social Computing: Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010: Bethesda, MD, USA, March 30-31, 2010; proceedings, pp.346-353
Lecture Notes in Computer Science, 6007
SBP 10 - 2010 International Conference on Social Computing, Behavioral Modeling, and Prediction (Bethesda, Maryland, 30/03/2010–31/03/2010)
2010
DOI: https://doi.org/10.1007/978-3-642-12079-4_43
Handle:
https://hdl.handle.net/10863/47631

Abstract

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.
url
https://doi.org/10.1007/978-3-642-12079-4_43 View

Details

Metrics

1 Record Views
Logo image