Princeton University Press / Comscore / Online Social Networks / YouTube / /
Country
United States / / /
IndustryTerm
power-law degree distribution / power-law networks / power-law degree distributions / large scale networks / changed media production / power-law / power-law degree distribuion / media sites / depth-first search / real-world networks / Internet measurement / large networks / data mining / power-law fit / snowball sampling method algorithm / breadth-first search / power-law distribution characteristics / social networks / subscriptions network / dynamicsthe network / static network / social network / communication tools / flickr social network / social media outlets / power-law characteristic / power-law property / /
Organization
Princeton University / IMC / /
Person
Bobby Bhattacharjee / Albert L. Barab / Krishna P. Gummadi / Hema S. Koppula / Pablo Rodriguez / Peter Druschel / Ravi Kumar / Lars Backstrom / Jure Leskovec / Duncan J. Watts / Diego Garlaschelli / Maria I. Loffredo / Mark E. J. Newman / Alan Mislove / Andrew Tomkins / Joan-Isaac Biel / / /
Position
preferential attachment model of Barab / D. J. / /
PublishedMedium
Physical Review Letters / /
Technology
API / data mining / simulation / snowball sampling method algorithm / dav / /
Please, subscribe to me! Analysing the structure and dynamics of the YouTube network Joan-Isaac Biel [removed] June 2009 Abstract