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ZENODO
Software . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2019
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Claim

Software written for the publication: Ideas from bounded confidence theory applied to dynamical networks of interacting free-bodies.

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 03 Aug 2019Publisher:Zenodo
Authors: O'Keeffe, Gary; Dassios, Ioannis;
Code repository: https://github.com/garyokeeffe/FreeBodies/tree/1.0

doi: 10.5281/zenodo.3359686 , 10.5281/zenodo.3359685

Software written for the publication: Ideas from bounded confidence theory applied to dynamical networks of interacting free-bodies.

Abstract

This library contains code for simulating the motion of a system of N free-bodies interacting with each-other in accordance to some power-law. Specifically the scripts BasicErrorPlot.py, and MonteCarlo.py, were used to simulate the motion of the free-bodies in our paper titled: "Ideas from bounded confidence theory applied to dynamical networks of interacting free-bodies" which was submitted for publication by Gary O'Keeffe, and Ioannis Dassios.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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