Understanding latent interactions in online social networks
Abstract
Popular online social networks (OSNs) like Facebook and Twitter are changing the way users communicate and interact with the Internet. A deep understanding of user interactions in OSNs can provide important insights into questions of human social behavior and into the design of social platforms and applications. However, recent studies have shown that a majority of user interactions on OSNs are latent interactions , that is, passive actions, such as profile browsing, that cannot be observed by traditional measurement techniques.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 01, 2013
- Source ID
- 10.1145/2517040
Entities
People
- Ben Y. Zhao
- Christo Wilson
- Jing Jiang
- Peng Huang
- Wenpeng Sha
- Xiao Wang
- Yafei Dai
Organizations
- Defense Advanced Research Projects Agency
- Division of Computer and Network Systems
- Division of Information and Intelligent Systems
- National Natural Science Foundation of China
- Peking University
- University of California, Santa Barbara