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Factors Enabling Information Propagation in a Social Network Site

  • Matteo MagnaniEmail author
  • Danilo Montesi
  • Luca Rossi
Chapter
Part of the Lecture Notes in Social Networks book series (LNSN, volume 6)

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.

Keywords

Social Media Social Network Site Large Audience Text Entry Vacation Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

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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Copyright information

© Springer-Verlag Wien 2013

Authors and Affiliations

  1. 1.Department of Computer ScienceAarhus UniversityAarhusDenmark
  2. 2.Department of Computer ScienceUniversity of BolognaBolognaItaly
  3. 3.Department of Communication StudiesUniversity of Urbino Carlo BoUrbinoItaly

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