De Meo, P. and Ferrara, E. and Fiumara, G. and Provetti, Alessandro (2014) On Facebook, most ties are weak. Communications of the ACM 57 (11), pp. 78-84. ISSN 0001-0782.
![[img]](https://eprints.bbk.ac.uk/style/images/fileicons/text.png) |
Text
09_provetti-C-ACM-2014.pdf - Published Version of Record Restricted to Repository staff only Download (3MB) |
Abstract
PERVASIVE SOCIO-TECHNICAL NETWORKS bring new conceptual and technological challenges to developers and users alike. A central research theme is evaluation of the intensity of relations linking users and how they facilitate communication and the spread of information. These aspects of human relationships have been studied extensively in the social sciences under the framework of the “strength of weak ties” theory proposed by Mark Granovetter. Some research has considered whether that theory can be extended to online social networks like Facebook, suggesting interaction data can be used to predict the strength of ties. The approaches being used require handling user-generated data that is often not publicly available due to privacy concerns. Here, we propose an alternative defnition of weak and strong ties that requires knowledge of only the topology of the social network (such as who is a friend of whom on Facebook), relying on the fact that online key insights.
Metadata
| Item Type: | Article |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | Alessandro Provetti |
| Date Deposited: | 12 Oct 2018 14:02 |
| Last Modified: | 08 Aug 2025 13:38 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/24568 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
