By A. Ortega, P. Frossard, J. Kovacevic, J. M. F. Moura, and P. Vandergheynst
This article presents methods to process data associated to graphs (graph signals) extending techniques (transforms, sampling, and others) that are used for conventional signals.
By J. O. Garcia, A. Ashourvan, S. F. Muldoon, J. M. Vettel, and D. S. Bassett
The article studies “small-world” properties at a distributed level, studying how modularity can be detected and maximized, presenting the utility of these approaches in uncovering behaviorally-relevant structure in neuroimaging data.
This article considers scenarios where a distributed computation has to be accomplished through the cooperation of multiple physically distributed nodes, with applications in the context of sensor networks, cooperating robots, among others.
This article provides an overview of the connections of algebraic graph theory and the design and analysis of electric circuits, from integrated circuits to large distribution grids.