We present a novel problem of searching for `familiar strangers' in a social network. Familiar strangers are individuals who are not directly connected but exhibit some simil...
Searching for repeated features characterizing biological data is fundamental in computational biology. When biological networks are under analysis, the presence of repeated modul...
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Service and resource discovery has become an integral part of modern networked systems. In this survey we give an overview of the existing solutions for service and resource discov...
We use a constrained optimization framework to derive fundamental scaling laws for both unstructured sensor networks (which use blind sequential search for querying) and structure...