Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
We describe the design of, and experience with, Query, a monitoring system that supports the Akamai EdgePlatform. Query is a foundation of Akamai’s approach to administering its...
Thomas Repantis, Jeff Cohen, Scott Smith, Joel Wei...