We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Physical play familiar from sports activities is a favorite pastime across all cultures and has been attributed with many social, mental and physical health benefits. However, the...
This paper provides a novel algorithm to automatically detect the hidden hierarchy in terrorist networks. The algorithm is based on centrality measures used in social network analy...
Nasrullah Memon, Henrik Legind Larsen, David L. Hi...
Much of our daily communication activity involves managing interpersonal communications and relationships. Despite its importance, this activity of contact management is poorly un...