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      Statistical Comparison among Brain Networks with Popular Network Measurement Algorithms

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            Abstract

            In this research, a number of popular network measurement algorithms have been applied to several brain networks (based on applicability of algorithms) for finding out statistical correlation among these popular network measurements which will help scientists to understand these popular network measurement algorithms and their applicability to brain networks. By analyzing the results of correlations among these network measurement algorithms, statistical comparison among selected brain networks has also been summarized. Besides that, to understand each brain network, the visualization of each brain network and each brain network’s degree distribution histogram have been extrapolated. Six network measurement algorithms have been chosen to apply time to time on sixteen brain networks based on applicability of these network measurement algorithms and the results of these network measurements are put into a correlation method to show the relationship among these six network measurement algorithms for each brain network. At the end, the results of the correlations have been summarized to show the statistical comparison among these sixteen brain networks.

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            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            30 October 2022
            Affiliations
            [1 ] NRU HSE
            Author notes
            Author information
            https://orcid.org/0000-0002-6736-3741
            Article
            10.14293/S2199-1006.1.SOR-.PPWDII9.v1
            9e94653d-d7e9-44f6-b63d-33ca9f059b6a

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 30 October 2022

            The datasets generated during and/or analysed during the current study are available in the repository: http://www.networkrepository.com
            Social & Information networks,Data structures & Algorithms,Neural & Evolutionary computing
            Network Analysis,Brain Networks,Network Degree Distributions,Network Visualizations,Network Measurement Algorithms,Human Brain Networks

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