Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Scale-Free Overlay Topologies with Hard Cutoffs for Unstructured Peer-to-Peer Networks
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
Proceedings of the first workshop on Online social networks
Growth of the flickr social network
Proceedings of the first workshop on Online social networks
Why We Twitter: An Analysis of a Microblogging Community
Advances in Web Mining and Web Usage Analysis
Power-Law Distributions in Empirical Data
SIAM Review
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
How do superpeer networks emerge?
INFOCOM'10 Proceedings of the 29th conference on Information communications
A geometric model for on-line social networks
WOSN'10 Proceedings of the 3rd conference on Online social networks
The effects of restrictions on number of connections in OSNs: a case-study on twitter
WOSN'10 Proceedings of the 3rd conference on Online social networks
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Most popular OSNs currently restrict the number of social links that a user can have, in order to deal with the problems of increasing spam and scalability in the face of a rapid rise in the number of users in recent years. However such restrictions are often being criticized by socially active and popular users, hence the OSN authorities are facing serious design-choices while imposing restrictions; this is evident from the innovative 'soft' cut-off recently imposed in Twitter instead of the traditional 'hard' cut-offs in other OSNs. Our goal in this paper is to develop an analytical framework taking the restriction in Twitter as a case-study, that can be used to make proper design-choices considering the conflicting objectives of reducing system-load and minimizing user-dissatisfaction. We consequently define a simple utility function considering the above two objectives, and find that Twitter's policy well balances both. From a network science perspective, this is the first analysis of 'soft' cut-offs in any sort of network, to the best of our knowledge.