We develop a structural model of credit risk in a network economy, where any firm can lend to any other firm, so that each firm is subject to counterparty risk either from dire...
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Routing games are used to to understand the impact of individual users’ decisions on network efficiency. Most prior work on routing games uses a simplified model of network fl...
Many networks under study in Information Visualization are “small world” networks. These networks first appeared in the study social networks and were shown to be relevant mod...
David Auber, Yves Chiricota, Fabien Jourdan, Guy M...
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...