{
  "annotation_id": "7d14a835-18a0-4fb9-8c7e-23395f1d67a4",
  "date_created": "2026-03-02T18:01:00.415000Z",
  "date_modified": "2026-03-02T18:01:00.415000Z",
  "file_hash": "ed39fe7f32589e0a5d2545f4c78005ac2ef4f8b6115511b633846936059afbe2",
  "private": false,
  "record": {
    "abstract": "We study network traffic dynamics in a two dimensional communication network\nwith regular nodes and hubs. If the network experiences heavy message traffic,\ncongestion occurs due to finite capacity of the nodes. We discuss strategies to\nmanipulate hub capacity and hub connections to relieve congestion and define a\ncoefficient of betweenness centrality (CBC), a direct measure of network\ntraffic, which is useful for identifying hubs which are most likely to cause\ncongestion. The addition of assortative connections to hubs of high CBC\nrelieves congestion very efficiently.",
    "arxiv_id": "physics/0509245",
    "authors": [
      "Neelima Gupte",
      "Brajendra K. Singh"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1140/epjb/e2006-00202-2",
    "title": "Role of connectivity in congestion and decongestion in networks",
    "url": "https://arxiv.org/abs/physics/0509245"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "66138006-d54b-45e0-8c90-cdd49d247d4c",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}