The datasets collected during this project are all made available to other researchers, to allow comparative analysis and to support other research initiatives.
All the data downloadable from this page has been collected by public Web pages. Contents have been made available to everyone by their authors.
AU-CS MultiLayer network
MultiLayer (ML) network with 5 kinds of online and offline relationships (Facebook, Leisure, Work, Co-authorship, Lunch) between the employees of a research department.
Used in: [work under submission]
Geo Twitter data
Presentation at Mobile Communication Workshop in Aarhus, March 2012
Global Twitter event
Twapperkeeper archive used in: L. Rossi, M. Magnani and B. Iadarola. #rescatemineros: global media events in the microblogging age. Selected Papers in Internet Research – IR12, Seattle, WA.
MultiLayer (ML) network
Used in: M. Magnani and L. Rossi. The ML-model for multi-layer social networks. In Proceeding of 2011 International Conference on Advances in Social Networks Analysis and Mining, IEEE Computer Society.
Used in: Fabio Celli, F. Marta L. Di Lascio, Matteo Magnani, Barbara Pacelli, and Luca Rossi. Social network data and practices: the case of friendfeed. In International Conference on Social Computing, Behavioral Modeling and Prediction SBP 2010. Lecture Notes in Computer Science, Springer, Berlin, 2010.