We study the effect of information overload on user engagement in an asymmetric social network like Twitter. We introduce simple game-theoretic models that capture rate competition...
Christian Borgs, Jennifer T. Chayes, Brian Karrer,...
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
Michael Hay, Gerome Miklau, David Jensen, Donald F...
— This paper investigates the role of providers’ market shares for consumers and websites on interconnection settlements between networks. We proposed to differentiate traffic ...
-- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
We propose a multilayered semantic social network model that offers different views of common interests underlying a community of people. The applicability of the proposed model to...