{
  "id": "cond-mat/0210224",
  "version": "v1",
  "published": "2002-10-10T06:25:30.000Z",
  "updated": "2002-10-10T06:25:30.000Z",
  "title": "Betweenness centrality correlation in social networks",
  "authors": [
    "K. -I. Goh",
    "E. Oh",
    "B. Kahng",
    "D. Kim"
  ],
  "comment": "4 pages, 4 figures, 1 table",
  "doi": "10.1103/PhysRevE.67.017101",
  "categories": [
    "cond-mat.stat-mech"
  ],
  "abstract": "Scale-free (SF) networks exhibiting a power-law degree distribution can be grouped into the assortative, dissortative and neutral networks according to the behavior of the degree-degree correlation coefficient. Here we investigate the betweenness centrality (BC) correlation for each type of SF networks. While the BC-BC correlation coefficients behave similarly to the degree-degree correlation coefficients for the dissortative and neutral networks, the BC correlation is nontrivial for the assortative ones found mainly in social networks. The mean BC of neighbors of a vertex with BC $g_i$ is almost independent of $g_i$, implying that each person is surrounded by almost the same influential environments of people no matter how influential the person is.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2002-10-10T06:25:30.000Z"
    }
  ],
  "analyses": {
    "subjects": [
      "89.75.-k",
      "89.20.-a",
      "89.65.-s"
    ],
    "keywords": [
      "betweenness centrality correlation",
      "social networks",
      "degree-degree correlation coefficient",
      "neutral networks",
      "bc-bc correlation coefficients behave"
    ],
    "tags": [
      "journal article"
    ],
    "publication": {
      "publisher": "APS",
      "journal": "Physical Review E",
      "year": 2003,
      "month": "Jan",
      "volume": 67,
      "number": 1,
      "pages": "017101"
    },
    "note": {
      "typesetting": "TeX",
      "pages": 4,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2003PhRvE..67a7101G"
    }
  }
}