{
    "@xmlns": "http://www.w3.org/2005/Atom",
    "@xmlns:codemeta": "https://doi.org/10.5063/SCHEMA/CODEMETA-2.0",
    "author": {
        "email": "hal@ccsd.cnrs.fr",
        "name": "HAL"
    },
    "client": "hal",
    "codemeta:applicationCategory": [
        "info.info-si",
        "math.math-oc"
    ],
    "codemeta:author": [
        {
            "codemeta:affiliation": "LIA",
            "codemeta:name": "Alexandre Reiffers-Masson"
        },
        {
            "codemeta:affiliation": "LIA",
            "codemeta:name": "Vincent Labatut"
        }
    ],
    "codemeta:codeRepository": "https://github.com/CompNet/MultiplexCentrality",
    "codemeta:contributor": "Vincent Labatut",
    "codemeta:dateCreated": "2015",
    "codemeta:datePublished": "2019-07-11T14:09:05+02:00",
    "codemeta:description": "This set of R scripts was designed for two purposes: 1) Process the opinion centrality, a new centrality measure described in the paper mentioned in the readme; and  2) Compare it to other existing multiplex centrality measures. Our scripts were applied to a collection of multiplex networks obtained from public sources (see the Data section in the readme). These data are present in this archive (folder data). The tool itself, the data and the experimental results are all described in our article.",
    "codemeta:developmentStatus": "Finalis\u00e9",
    "codemeta:keywords": "Complex networks,Multiplex networks,Opinion diffusion,Centrality measure,Opinion centrality",
    "codemeta:license": {
        "codemeta:name": "GNU General Public License v3.0 only"
    },
    "codemeta:name": "Opinion Centrality v.1.1 - Nodal centrality for multiplex networks",
    "codemeta:operatingSystem": "Multiplatform",
    "codemeta:programmingLanguage": "R",
    "codemeta:softwareVersion": "1.1",
    "codemeta:url": "https://hal.archives-ouvertes.fr/hal-02180368",
    "codemeta:version": "1",
    "external_identifier": "hal-02180368",
    "id": "hal-02180368",
    "original_artifact": [
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            "length": 11889064,
            "name": "archive.zip",
            "sha1": "c2e900f8025b81153e59bf2ad775f3830134e4fe",
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}