Mining social networks for significant friend groups
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications
Indirect weighted association rules mining for academic network collaboration recommendations
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
| Hi-index | 0.00 |
Online social network services have attracted more and more users in recent years. So the security in social networks becomes a critical problem. In this paper, we propose a virus model based on the application network of Facebook, which is the most popular among these social network service providers. We also model the virus propagation with an email virus model and compare the behaviors of virus spreading in Facebook and email network. We find that while Facebook provides a platform for application developers, it also provides the same chance for virus spreading. And virus will spread faster in Facebook network if users of Facebook spend more time on it for entertainment.