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  NetworkDynamics.jl—Composing and simulating complex networks in Julia

Lindner, M., Lincoln, L., Drauschke, F., Koulen, J. M., Würfel, H., Plietzsch, A., Hellmann, F. (2021): NetworkDynamics.jl—Composing and simulating complex networks in Julia. - Chaos, 31, 6, 063133.
https://doi.org/10.1063/5.0051387

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_25712 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_25712_1
Genre: Journal Article

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 Creators:
Lindner, Michael1, Author              
Lincoln, Lucas1, Author              
Drauschke, Fenja1, Author              
Koulen, Julia M.1, Author              
Würfel, Hans1, Author              
Plietzsch, Anton1, Author              
Hellmann, Frank1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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Free keywords: User interfaces; Artificial neural networks; Programming languages; Kuramoto models; Ecology; Vertex function; Graph theory; Network theory; News and events; Symbolic computation
 Abstract: Simulations of complex systems on networks such as power grids, with many dfferent types of node and line dynamics are challenging to build and to optimize for performance. Available software is either proprietary or mixes higher-level scripting languages with low-level compiled languages to provide a convenient user interface while main- taining computational efficacy. The emerging programming language Julia ffers a unique en- vironment that allows to achieve both within a single language while overcoming some of the lim- itations of previous approaches. In this paper we present our open-source package NetworkDynam- ics.jl that opens up Julia's potential to the net- work science community. This article is based on NetworkDynamics.jl v0.5.

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 Dates: 2021-06-012021-06-222021-06-22
 Publication Status: Finally published
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 Rev. Type: Peer
 Identifiers: DOI: 10.1063/5.0051387
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Model / method: Open Source Software
 Degree: -

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Title: Chaos
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 31 (6) Sequence Number: 063133 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/180808
Publisher: American Institute of Physics (AIP)