This paper introduces an approach for adaptively brokering queries for exploiting streams produced and consumed by devices with limited computing and storage capacities. Such devi...
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...
During the last years, a wide range of huge networks has been made available to researchers. The discovery of natural groups, a task called graph clustering, in such datasets is a ...
—This paper studies economic models of user participation incentive in participatory sensing applications. User participation is the most important element in participatory sensi...
We propose a novel framework for multi-source video streaming in peer-to-peer (P2P) networks. Multiple videos are distributed to all requesting peers exploiting full collaboration...