Growth of the flickr social network Export

@inproceedings{citeulike:3271250, abstract = {Online social networking sites like MySpace, Orkut, and Flickr are among the most popular sites on the Web and continue to experience dramatic growth in their user population. The popularity of these sites offers a unique opportunity to study the dynamics of social networks at scale. Having a proper understanding of how online social networks grow can provide insights into the network structure, allow predictions of future growth, and enable simulation of systems on networks of arbitrary size. However, to date, most empirical studies have focused on static network snapshots rather than growth dynamics.}, address = {New York, NY, USA}, author = {Mislove, Alan and Koppula, Hema S. and Gummadi, Krishna P. and Druschel, Peter and Bhattacharjee, Bobby}, booktitle = {WOSP '08: Proceedings of the first workshop on Online social networks}, citeulike-article-id = {3271250}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1397735.1397742}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1397735.1397742}, doi = {10.1145/1397735.1397742}, isbn = {978-1-60558-182-8}, keywords = {evolution, flickr, growth, longitudinal, network, social, time}, location = {Seattle, WA, USA}, pages = {25--30}, posted-at = {2009-05-28 23:41:43}, priority = {4}, publisher = {ACM}, title = {Growth of the flickr social network}, url = {http://dx.doi.org/10.1145/1397735.1397742}, year = {2008} }

TY - CONF ID - citeulike:3271250 L3 - citeulike-article-id:3271250 N2 - Online social networking sites like MySpace, Orkut, and Flickr are among the most popular sites on the Web and continue to experience dramatic growth in their user population. The popularity of these sites offers a unique opportunity to study the dynamics of social networks at scale. Having a proper understanding of how online social networks grow can provide insights into the network structure, allow predictions of future growth, and enable simulation of systems on networks of arbitrary size. However, to date, most empirical studies have focused on static network snapshots rather than growth dynamics. CY - Seattle, WA, USA SN - 978-1-60558-182-8 AD - New York, NY, USA EP - 30 TI - Growth of the flickr social network PB - ACM T2 - WOSP '08: Proceedings of the first workshop on Online social networks SP - 25 KW - evolution KW - flickr KW - growth KW - longitudinal KW - network KW - social KW - time AU - Mislove, Alan AU - Koppula, Hema AU - Gummadi, Krishna AU - Druschel, Peter AU - Bhattacharjee, Bobby PY - 2008/// UR - http://dx.doi.org/10.1145/1397735.1397742 ER -