Articles | Volume 8, issue 10
Development and technical paper
22 Oct 2015
Development and technical paper |  | 22 Oct 2015

Par@Graph – a parallel toolbox for the construction and analysis of large complex climate networks

H. Ihshaish, A. Tantet, J. C. M. Dijkzeul, and H. A. Dijkstra

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Cited articles

Anand, K. and Bianconi, G.: Entropy measures for networks: Toward an information theory of complex topologies, Phys. Rev. E, 80, 045102,, 2009.
Berezin, Y., Gozolchiani, A., Guez, O., and Havlin, S.: Stability of climate networks with time., Scientific Reports, 2, 666,, 2012.
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., and Lefebvre, E.: Fast unfolding of communities in large networks, J. Stat. Mech.-Theory E., 2008, P10008,, 2008.
Bonacich, P.: Factoring and weighting approaches to status scores and clique identification, J. Math. Sociol., 2, 113–120, 1972.
Brandes, U.: A Faster Algorithm for Betweenness Centrality, J. Math. Sociol., 25, 163–177, 2001.
Short summary
Par@Graph, a software toolbox to reconstruct and analyze large-scale complex climate networks. It exposes parallelism on distributed-memory computing platforms to enable the construction of massive networks from large number of time series based on the calculation of common statistical similarity measures between them. Providing additionally parallel graph algorithms to enable fast calculation of important and common properties of the generated networks on SMP machines.