In our work, we address the problem of modeling social network generation which explains both link and group formation. Recent studies on social network evolution propose generati...
Finding ways of reducing undesired behavior in online interactions is at the forefront of the social computing research agenda. One promising way to reduce perceived “bad behavi...
Jens Riegelsberger, Scott Counts, Shelly Farnham, ...
In this paper, we introduce a game-theoretic framework to address the community detection problem based on the structures of social networks. We formulate the dynamics of community...
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 present a new approach to representing coalitional games based on rules that describe the marginal contributions of the agents. This representation scheme captures characterist...