Literature DB >> 22463001

Conedy: a scientific tool to investigate complex network dynamics.

Alexander Rothkegel1, Klaus Lehnertz.   

Abstract

We present Conedy, a performant scientific tool to numerically investigate dynamics on complex networks. Conedy allows to create networks and provides automatic code generation and compilation to ensure performant treatment of arbitrary node dynamics. Conedy can be interfaced via an internal script interpreter or via a Python module.

Mesh:

Year:  2012        PMID: 22463001     DOI: 10.1063/1.3685527

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  4 in total

Review 1.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

2.  Network structure from a characterization of interactions in complex systems.

Authors:  Thorsten Rings; Timo Bröhl; Klaus Lehnertz
Journal:  Sci Rep       Date:  2022-07-11       Impact factor: 4.996

3.  Perturbation centrality and turbine: a novel centrality measure obtained using a versatile network dynamics tool.

Authors:  Kristóf Z Szalay; Peter Csermely
Journal:  PLoS One       Date:  2013-10-21       Impact factor: 3.240

4.  Metanetwork Transmission Model for Predicting a Malaria-Control Strategy.

Authors:  Bo Li; Xiao Liu; Wen-Juan Wang; Feng Zhao; Zhi-Yong An; Hai Zhao
Journal:  Front Genet       Date:  2018-10-17       Impact factor: 4.599

  4 in total

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