Abstract
A relevant feature of Social Network Sites is their ability to propagate units of information and create large distributed conversations. This phenomenon is particularly relevant because of the speed of information propagation, which is known to be much faster than within traditional media, and because of the very large amount of people that can potentially be exposed to information items. While many general formal models of network propagation have been developed in different research fields, in this chapter we present the result of an empirical study on a Large Social Database (LSD) aimed at measuring specific socio-technical factors enabling information spreading in Social Network Sites.
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Notes
- 1.
Memes are described [19] as units of information capable of retaining their informational content, inducing people to reproduce the meme itself and staying alive as long as they are able to be reproduced.
- 2.
- 3.
On Sep. 15th the monitoring system had to be rebooted for maintenance, this explaining the missing values on that date.
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Acknowledgements
This work has been partly funded by Telecom Italia, by PRIN project “Online social relations and identity: Italian experience in Social Network Sites”, and by FIRB project “Information monitoring, propagation analysis and community detection in Social Network Sites”.
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Magnani, M., Montesi, D., Rossi, L. (2013). Factors Enabling Information Propagation in a Social Network Site. In: Özyer, T., Rokne, J., Wagner, G., Reuser, A. (eds) The Influence of Technology on Social Network Analysis and Mining. Lecture Notes in Social Networks, vol 6. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1346-2_18
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