{
  "annotation_id": "7bbded0c-4daf-400b-b93e-d3901548ea3d",
  "date_created": "2026-03-02T18:01:14.911000Z",
  "date_modified": "2026-03-02T18:01:14.911000Z",
  "file_hash": "5ea1d059853eb21c9f06c591dc4323f63209ad5f0100b3bdf46c7e1593846a81",
  "private": false,
  "record": {
    "abstract": "The role of weight on the weighted networks is investigated by studying the\neffect of weight on community structures. We use weighted modularity $Q^w$ to\nevaluate the partitions and Weighted Extremal Optimization algorithm to detect\ncommunities. Starting from idealized and empirical weighted networks, the\ndistribution or matching between weights and edges are disturbed. Using\ndissimilarity function $D$ to distinguish the difference between community\nstructures, it is found that the redistribution of weights does strongly affect\nthe community structure especially in dense networks. This indicates that the\ncommunity structure in networks is a suitable property to reflect the role of\nweight.",
    "arxiv_id": "physics/0609218",
    "authors": [
      "Ying Fan",
      "Menghui Li",
      "Peng Zhang",
      "Jinshan Wu",
      "Zengru Di"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1016/j.physa.2006.12.021",
    "title": "The Role of Weight on Community Structure of Networks",
    "url": "https://arxiv.org/abs/physics/0609218"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "936e5e23-b35c-41c6-91d4-083308c1b700",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}