{
  "id": "1207.3894",
  "version": "v1",
  "published": "2012-07-17T06:44:04.000Z",
  "updated": "2012-07-17T06:44:04.000Z",
  "title": "Probabilistic Generative Model of Social Network Based on Web Features",
  "authors": [
    "Mahyuddin K. M. Nasution",
    "Shahrul Azman Noah"
  ],
  "comment": "13 pages, International Seminar on Operational Research (InteriOR 2011): 241-250",
  "categories": [
    "math.PR"
  ],
  "abstract": "In this paper, we develop a dynamic framework for the modeling and analysis of social networks to work with web documents. We illustrate the model with features of web, design a form to analyze relationships of attributes as a modality of social structure, and create the optimization of generative model based on Bayes Theorem.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2012-07-17T06:44:04.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "probabilistic generative model",
      "social network",
      "web features",
      "dynamic framework",
      "web documents"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 13,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2012arXiv1207.3894N"
    }
  }
}