Graph model selection using maximum likelihood
ICML '06 Proceedings of the 23rd international conference on Machine learning
Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Analysis of topological characteristics of huge online social networking services
Proceedings of the 16th international conference on World Wide Web
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
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
Analysis of social voting patterns on digg
Proceedings of the first workshop on Online social networks
Characterizing social cascades in flickr
Proceedings of the first workshop on Online social networks
Proceedings of the first workshop on Online social networks
Growth of the flickr social network
Proceedings of the first workshop on Online social networks
Microscopic evolution of social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
WOSN'10 Proceedings of the 3rd conference on Online social networks
Prediction promotes privacy in dynamic social networks
WOSN'10 Proceedings of the 3rd conference on Online social networks
Listen to me if you can: tracking user experience of mobile network on social media
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
A Socratic method for validation of measurement-based networking research
Computer Communications
Evolution analysis of a mobile social network
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Incremental graph pattern matching
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Multi-scale dynamics in a massive online social network
Proceedings of the 2012 ACM conference on Internet measurement conference
Google+ or Google-?: dissecting the evolution of the new OSN in its first year
Proceedings of the 22nd international conference on World Wide Web
Incremental graph pattern matching
ACM Transactions on Database Systems (TODS)
Diversified top-k graph pattern matching
Proceedings of the VLDB Endowment
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Many factors such as the tendency of individuals to develop relationships based on mutual acquaintances, proximity, common interests, or combinations thereof, are known to contribute toward evolution of social networks. In this paper, we analyze an evolving online social aggregator FriendFeed, which collates content generated by participating individuals on a variety of Web 2.0 services and allows easy dissemination of the aggregated content to other participants of the aggregator. Analyzing data collected between September 2008 and May 2009, we find that although preferential attachment captures the evolution of the network, its influence varies significantly based on how long ago a user joined the service. In particular, preferential attachment does not appear to apply to new entrants of the FriendFeed service. Analysis suggests that proximity bias plays an important role in link formation. We study the influence of common foci and find that individuals have a greater affinity toward those with similar interests.