Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

11-2013

Abstract

Microblogging platforms are Web 2.0 services that represent a suitable environment for studying how information is propagated in social networks and how users can become influential. In this work we analyse the impact of the network features and of the users' behaviour on the information diffusion. Our analysis highlights a strong relation between the level of visibility of a message in the flow of information seen by a user and the probability that the user further disseminates the message. In addition, we also highlight the existence of other latent factors that impact on the dissemination probability, correlated with the properties of the user that generated the message. Considering these results we define an information propagation model that generates information cascades (i.e. flows of messages propagated from user to user) whose statistical properties match empirical observations.

Discipline

Databases and Information Systems | Social Media

Research Areas

Data Science and Engineering

Publication

Proceedings of 2013 International Conference on Social Informatics, Kyoto Japan, Nov 25-27

First Page

360

Last Page

369

ISBN

9783319032597

Identifier

10.1007/978-3-319-03260-3_31

Publisher

Springer International Publishing

City or Country

Switzerland

Additional URL

https://link.springer.com/chapter/10.1007/978-3-319-03260-3_31

Download

Share

COinS