We present a detailed study of network evolution by analyzing four large online social networks with full temporal information about node and edge arrivals. For the first time at ...
Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew ...
Scholars, advertisers and political activists see massive online social networks as a representation of social interactions that can be used to study the propagation of ideas, soc...
Online social networks are enjoying drastic increase in their population and connectivity. One of the fundamental issues in these networks is trust, which is an essential factor in...
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Traditional online social network sites use a single monolithic "friends" relationship to link users. However, users may have more in common with strangers, suggesting t...