Understanding online social network usage from a network perspective
By Fabian Schneider, Anja Feldmann, Balachander Krishnamurthy, Walter Willinger. ACM/SIGCOMM Internet Measurement Conference, 2009
321 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/3d998912d265eeb5003f649f28322fe5929021e6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Ben Y. Zhao
- Josep M. Pujol
- Pablo Rodríguez Rodríguez
- Nikolaos Laoutaris
- Georgos Siganos
- Vijay Erramilli
- Athanasios V. Vasilakos
- Pan Hui
In Information Systems
- Ben Y. Zhao
- Tao Chen
- Josep M. Pujol
- Nikolaos Laoutaris
- Georgos Siganos
- Athanasios V. Vasilakos
- Christo Wilson
- Min-Yen Kan
In Statistical and Nonlinear Physics
- Pablo Rodríguez Rodríguez
- Tao Chen
- Ben Y. Zhao
- Georgos Siganos
- Christo Wilson
- Min-Yen Kan
- Pan Hui
- Neil Zhenqiang Gong
Citations in the corpus
- Understanding user behavior in online social networks: a survey (2013, background): “Schneider et al. [7] also study clickstream data, but their focuses are feature popularity, session characteristics, and the dynamics within OSN sessions.”
- #mytweet via Instagram: Exploring user behaviour across multiple social networks (2015, background): “To understand how user interact with multiple OSNs, early studies exploited user clickstream data from passively monitored network traffic [8] or a social network aggregator [9].”
- The little engine(s) that could: scaling online social networks (2010, background): “…Pablo Rodriguez Telefonica Research { jmps, vijay, georgos, yxiao, nikos, pchhabra, pablorr }@tid.es ABSTRACT The di.culty of scaling Online Social Networks (OSNs) has introduced new system design challenges that has often caused costly re-architecting for services like Twitter and Facebook.”
- Detecting and characterizing social spam campaigns (2010, background): “Detecting and Characterizing Social Spam Campaigns Hongyu Gao Jun Hu Christo Wilson Northwestern University HUST U. C. Santa Barbara Evanston, IL, USA Wuhan, China Santa Barbara, CA USA hygao@u.northwestern.edu junehu1210@gmail.com bowlin@cs.ucsb.edu Zhichun Li Yan Chen Ben Y. Zhao Northwestern Un”