%0 Conference Paper %1 Goldberg:2008:CDB:1883692.1883695 %A Goldberg, Mark %A Kelley, Stephen %A Magdon-Ismail, Malik %A Mertsalov, Konstantin %A Wallace, William %B Proceedings of the Second international conference on Advances in social network mining and analysis %C Berlin, Heidelberg %D 2010 %I Springer-Verlag %K blog communication dynamics %P 36--54 %T Communication dynamics of blog networks %U http://portal.acm.org/citation.cfm?id=1883692.1883695 %X We study the communication dynamics of Blog networks, focusing on the Russian section of LiveJournal as a case study. Communication (blogger-to-blogger links) in such online communication networks is very dynamic: over 60% of the links in the network are new from one week to the next, though the set of bloggers remains approximately constant. Two fundamental questions are: (i) what models adequately describe such dynamic communication behavior; and (ii) how does one detect the phase transitions, i.e. the changes that go beyond the standard high-level dynamics? We approach these questions through the notion of stable statistics. We give strong experimental evidence to the fact that, despite the extreme amount of communication dynamics, several aggregate statistics are remarkably stable. We use stable statistics to test our models of communication dynamics postulating that any good model should produce values for these statistics which are both stable and close to the observed ones. Stable statistics can also be used to identify phase transitions, since any change in a normally stable statistic indicates a substantial change in the nature of the communication dynamics. We describe models of the communication dynamics in large social networks based on the principle of locality of communication: a node's communication energy is spent mostly within its own "social area," the locality of the node. %@ 3-642-14928-6, 978-3-642-14928-3

@inproceedings{Goldberg:2008:CDB:1883692.1883695, abstract = {We study the communication dynamics of Blog networks, focusing on the Russian section of LiveJournal as a case study. Communication (blogger-to-blogger links) in such online communication networks is very dynamic: over 60% of the links in the network are new from one week to the next, though the set of bloggers remains approximately constant. Two fundamental questions are: (i) what models adequately describe such dynamic communication behavior; and (ii) how does one detect the phase transitions, i.e. the changes that go beyond the standard high-level dynamics? We approach these questions through the notion of stable statistics. We give strong experimental evidence to the fact that, despite the extreme amount of communication dynamics, several aggregate statistics are remarkably stable. We use stable statistics to test our models of communication dynamics postulating that any good model should produce values for these statistics which are both stable and close to the observed ones. Stable statistics can also be used to identify phase transitions, since any change in a normally stable statistic indicates a substantial change in the nature of the communication dynamics. We describe models of the communication dynamics in large social networks based on the principle of locality of communication: a node's communication energy is spent mostly within its own "social area," the locality of the node.}, acmid = {1883695}, added-at = {2011-06-13T15:09:53.000+0200}, address = {Berlin, Heidelberg}, author = {Goldberg, Mark and Kelley, Stephen and Magdon-Ismail, Malik and Mertsalov, Konstantin and Wallace, William}, biburl = {https://www.bibsonomy.org/bibtex/2ef1ba5dc3157b0ed847b320616df89fa/anit_1374}, booktitle = {Proceedings of the Second international conference on Advances in social network mining and analysis}, description = {Communication dynamics of blog networks}, interhash = {7889bafb58cbd97d343aee761891ed08}, intrahash = {ef1ba5dc3157b0ed847b320616df89fa}, isbn = {3-642-14928-6, 978-3-642-14928-3}, keywords = {blog communication dynamics}, location = {Las Vegas, NV, USA}, numpages = {19}, pages = {36--54}, publisher = {Springer-Verlag}, series = {SNAKDD'08}, timestamp = {2011-06-14T10:03:05.000+0200}, title = {Communication dynamics of blog networks}, url = {http://portal.acm.org/citation.cfm?id=1883692.1883695}, year = 2010 }