In this article we identify social communities among gang members in the Hollenbeck
policing district in Los Angeles, based on sparse observations of a combination of social …

In recent years, multi-view graph partitioning has attracted more and more attention, but
most efforts have been made to develop graph partitioning approaches directly in the …

Consider a network consisting of two subnetworks (communities) connected by some
external edges. Given the network topology, the community detection problem can be cast …

Because networks can be used to represent many complex systems, they have attracted
considerable attention in physics, computer science, sociology, and many other disciplines …

Purpose–Criminal groups have long been central to explanations of crime and deviance.
Yet, challenges in measuring their dynamic and transient nature meant that group-level …

Compared to constraint-based causal discovery, causal discovery based on functional
causal models is able to identify the whole causal model under appropriate assumptions …

In this paper, we study the sensitivity of the spectral clustering based community detection
algorithm subject to a Erdos-Renyi type random noise model. We prove phase transitions in …

The demand for analyzing patterns and structures of data is growing dramatically in recent
years. The study of network structure is pervasive in sociology, biology, computer science …

Estimating multiple geometric shapes such as tracks or surfaces creates significant
mathematical challenges particularly in the presence of unknown data association. In …