Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
On the evolution of user interaction in Facebook
Proceedings of the 2nd ACM workshop on Online social networks
Characterizing user behavior in online social networks
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
An analysis of information diffusion in the blog world
Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
The role of social networks in information diffusion
Proceedings of the 21st international conference on World Wide Web
Information propagation in online social networks: a tie-strength perspective
Knowledge and Information Systems
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Over the years, online social networks (OSNs) have become popular form of networks for people to create and maintain networks of friends, to share knowledge/interests, and to publish content on a massive scale. The popularity of such OSNs has formed a virtual platform for viral marketing of contents, products, target advertising, and political campaigns. The amount of work dedicated to studying information diffusion in OSNs has increased in recent years. Past research has clearly shown that diffusion of information in social networks depends on both the nature of the information and the structure of the network. In this study, we focus on one of the structural properties, tie strength, in the flow of information through social networks. Several studies have shown that weak ties can act as bridges, linking disconnected groups in the network, which, in turn, allows information to diffuse between subgroups. However, not all weak ties are "good" weak ties in the network. In this study, we want to prove that a weak tie helps in the spread of information, when a "good" weak tie is selected. Specifically, we proposed a simple mechanism to select "good" weak ties in each step of the propagation process. We simulate our mechanism on data collected from two blog networks (wretch.cc and tribe.com) and a Facebook network, and found that an appropriate weak tie can improve the diffusion of information.