Issue No. 02 - Feb. (2013 vol. 24)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2012.124
Alberto Montresor , University of Trento, Trento
Francesco De Pellegrini , CREATE-NET, Trento
Daniele Miorandi , CREATE-NET, Trento
Several novel metrics have been proposed in recent literature in order to study the relative importance of nodes in complex networks. Among those, k-coreness has found a number of applications in areas as diverse as sociology, proteinomics, graph visualization, and distributed system analysis and design. This paper proposes new distributed algorithms for the computation of the k-coreness of a network, a process also known as k-core decomposition. This technique 1) allows the decomposition, over a set of connected machines, of very large graphs, when size does not allow storing and processing them on a single host, and 2) enables the runtime computation of k-cores in “live” distributed systems. Lower bounds on the algorithms complexity are given, and an exhaustive experimental analysis on real-world data sets is provided.
Computational modeling, Peer to peer computing, Arrays, Protocols, Optimization, Proteins, Measurement, bulk synchronous parallel, k-Core decomposition, graph analysis
F. De Pellegrini, A. Montresor and D. Miorandi, "Distributed k-Core Decomposition," in IEEE Transactions on Parallel & Distributed Systems, vol. 24, no. , pp. 288-300, 2013.