{
  "annotation_id": "07a87201-b945-4dc1-b6f6-dc0f9a633fdf",
  "date_created": "2026-03-02T18:01:03.348000Z",
  "date_modified": "2026-03-02T18:01:03.348000Z",
  "file_hash": "930849e0eba7b5185745cefe29b6a14455873b6b640327bca468950584be67e6",
  "private": false,
  "record": {
    "abstract": "This paper introduces a model of self-organization between communication and\ntopology in social networks, with a feedback between different communication\nhabits and the topology. To study this feedback, we let agents communicate to\nbuild a perception of a network and use this information to create strategic\nlinks. We observe a narrow distribution of links when the communication is low\nand a system with a broad distribution of links when the communication is high.\nWe also analyze the outcome of chatting, cheating, and lying, as strategies to\nget better access to information in the network. Chatting, although only\nadopted by a few agents, gives a global gain in the system. Contrary, a global\nloss is inevitable in a system with too many liars",
    "arxiv_id": "physics/0512105",
    "authors": [
      "M. Rosvall",
      "K. Sneppen"
    ],
    "categories": [
      "physics.soc-ph",
      "cond-mat.dis-nn"
    ],
    "doi": "10.1103/PhysRevE.74.016108",
    "journal_ref": "Phys. Rev. E 74, 016108 (2006).",
    "title": "Modeling self-organization of communication and topology in social   networks",
    "url": "https://arxiv.org/abs/physics/0512105"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "d96253ae-cb12-49ad-8ad9-dfc9429bf2ce",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}