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  "Description": "We present an implementation of the algorithms required to\nsimulate large-scale social networks and retrieve their most\nrelevant metrics.",
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    "draw.degdist.cum",
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    "draw.degdist.log",
    "draw.net",
    "from.adjacency",
    "from.edgelist",
    "from.igraph",
    "histo.dist",
    "metric.cluster.global",
    "metric.cluster.mean",
    "metric.cluster.median",
    "metric.degree.effective",
    "metric.degree.entropy",
    "metric.degree.max",
    "metric.degree.max.efficient",
    "metric.degree.mean",
    "metric.degree.median",
    "metric.degree.min",
    "metric.degree.sd",
    "metric.distance.apl",
    "metric.distance.diameter",
    "metric.distance.effdia",
    "metric.distance.meanecc",
    "metric.distance.medianecc",
    "metric.distance.mpl",
    "metric.eigen.mean",
    "metric.eigen.median",
    "metric.eigen.value",
    "metric.graph.density",
    "neighbors",
    "net.barabasi.albert",
    "net.caveman",
    "net.complete",
    "net.erdos.renyi.gnm",
    "net.erdos.renyi.gnp",
    "net.holme.kim",
    "net.random.plc",
    "net.rewired.caveman",
    "net.ring.lattice",
    "net.watts.strogatz",
    "preview.deg",
    "preview.net"
  ],
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    {
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      "title": "Degree Distribution",
      "topics": [
        "dist.deg"
      ]
    },
    {
      "page": "draw.degdist",
      "title": "Plot of the degree distribution of a network",
      "topics": [
        "draw.degdist"
      ]
    },
    {
      "page": "draw.degdist.cum",
      "title": "Plot of the cumulative degree distribution of a network",
      "topics": [
        "draw.degdist.cum"
      ]
    },
    {
      "page": "draw.degdist.cum.log",
      "title": "Plot of the cumulative degree distribution of a network, with a logarithm scale",
      "topics": [
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      ]
    },
    {
      "page": "draw.degdist.log",
      "title": "Plot of the degree distribution of a network, with a logarithm scale",
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      ]
    },
    {
      "page": "draw.net",
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      ]
    },
    {
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      "title": "Adjacency Matrix to 'fastnet'",
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      ]
    },
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      "page": "from.edgelist",
      "title": "Edgelist to 'fastnet'",
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      ]
    },
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      "page": "from.igraph",
      "title": "Transform Network from 'igraph' to 'fastnet' Format",
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      ]
    },
    {
      "page": "histo.dist",
      "title": "Histogram of all degrees of a network",
      "topics": [
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      ]
    },
    {
      "page": "metric.cluster.global",
      "title": "Global Clustering Coefficient",
      "topics": [
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      ]
    },
    {
      "page": "metric.cluster.mean",
      "title": "Mean Local Clustering Coefficient",
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    },
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      "page": "metric.cluster.median",
      "title": "Median Local Clustering Coefficient",
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      ]
    },
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      "title": "Effective Degree",
      "topics": [
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    },
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      "title": "Degree Entropy",
      "topics": [
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      ]
    },
    {
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      "title": "Maximal Degree",
      "topics": [
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      ]
    },
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      "title": "Efficient Maximal Degree",
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      ]
    },
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      "title": "Mean Degree",
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      ]
    },
    {
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      "title": "Median Degree",
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      ]
    },
    {
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      "title": "Minimal Degree",
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      ]
    },
    {
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      "title": "Standard Deviation of Degree Distribution",
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      ]
    },
    {
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      "title": "Average Path Length",
      "topics": [
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      ]
    },
    {
      "page": "metric.distance.diameter",
      "title": "Diameter",
      "topics": [
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      ]
    },
    {
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      "title": "Effective Diameter",
      "topics": [
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      ]
    },
    {
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      "title": "Mean Eccentricity",
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      ]
    },
    {
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      "title": "Median Eccentricity",
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    },
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      "title": "Median Path Length",
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    },
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      "title": "Mean Eigenvalue Centrality",
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    },
    {
      "page": "metric.eigen.median",
      "title": "Median Eigenvalue Centrality",
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      ]
    },
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      "title": "Eigenvalue Score",
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      "title": "Graph Density",
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    },
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    },
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    },
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      "title": "Complete Network",
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    },
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    },
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