In this work, we study the correlation between attribute sets and the occurrence of dense subgraphs in large attributed graphs, a task we call structural correlation pattern minin...
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...
Unstructured peer-to-peer networks are frequently used as the overlay in various middleware toolkits for emerging applications, from content discovery to query result caching to di...
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Through ethnographic research, we document the rise of personal social networks in the workplace, which we call intensional networks. Paradoxically, we find that the most fundament...
Bonnie A. Nardi, Steve Whittaker, Heinrich Schwarz