Extensive research on mobile agents has been rife with the growing interests in network computing. In this paper, we have discussed a mobile multi-agent-based framework to address ...
Romit Roy Choudhury, Somprakash Bandyopadhyay, Kri...
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
We continue the line of research on graph compression started in [BV04], but we move our focus to the compression of social networks in a proper sense (e.g., LiveJournal): the app...
Paolo Boldi, Marco Rosa, Massimo Santini, Sebastia...
Abstract—Existing work on cross-layer optimization for wireless networks adopts simple physical-layer models, i.e., treating interference as noise. In this paper, we adopt a dete...
In this paper, we present a multi-agent system implementing a fully distributed Social Network System supporting user profiles as FOAF profiles. This system is built around the ide...