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
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Proceedings of the first workshop on Online social networks
Growth of the flickr social network
Proceedings of the first workshop on Online social networks
How do superpeer networks emerge?
INFOCOM'10 Proceedings of the 29th conference on Information communications
Spammers' networks within online social networks: a case-study on Twitter
Proceedings of the 20th international conference companion on World wide web
Assessing the effects of a soft cut-off in the twitter social network
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II
Effects of a soft cut-off on node-degree in the Twitter social network
Computer Communications
Scaling microblogging services with divergent traffic demands
Middleware'11 Proceedings of the 12th ACM/IFIP/USENIX international conference on Middleware
Scaling microblogging services with divergent traffic demands
Proceedings of the 12th International Middleware Conference
REPLOT: REtrieving profile links on Twitter for suspicious networks detection
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Most popular Online Social Networks (OSNs) in today's world, such as Facebook, Orkut and Twitter impose restrictions on the number of friends/connections that a member can have in the network. This is primarily due to two reasons - to limit spam and to reduce the strain on the system due to member-to-all-friends communication. We study the effects of such restrictions on node-degree, on the topological properties of the OSN networks, taking the restriction imposed by Twitter as a case-study. To the best of our knowledge, this is the first study of its nature, on any OSN. Towards this end, we use a network growth model based on preferential attachment to develop an analytical framework that can be used to assess the effects of various forms of restrictions on OSNs, as well as to design new restrictions of varying rigidity.