{
  "annotation_id": "e94e0812-f23e-4fc6-a9af-5e0d27a6efdf",
  "date_created": "2026-03-02T18:01:14.831000Z",
  "date_modified": "2026-03-02T18:01:14.831000Z",
  "file_hash": "5ea54531f066b474efd36b157d3b1bfd817f29d7ccc51ab3b85dfc4a8e6044ba",
  "private": false,
  "record": {
    "abstract": "While there is ample evidence that social and communication networks play a\nkey role during the spread of new ideas, products, or services, network effects\nare expected to have diminished influence in the stationary state, when all\nusers are aware of the innovation, and its usage pattern is determined mainly\nby its utility to the user. Here we study four mobile phone-based services\navailable to over six million subscribers, allowing us to simultaneously\nmonitor the communication network between individuals and the time-resolved\nservice usage patterns. We find that usage highly correlates with the structure\nof the communication network, and demonstrate the coexistence on the same\nsocial network of two distinct usage classes, network effects being responsible\nfor the quantifiable differences between them. To test the predictive power of\nour theory, we demonstrate that traditional marketing techniques are\nineffective in permanently boosting service adoption, and propose a hub-based\nincentive mechanism that has the potential to enhance usage for one of the two\nservice classes.",
    "arxiv_id": "physics/0611177",
    "authors": [
      "G. Szabo",
      "A. -L. Barabasi"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "title": "Network effects in service usage",
    "url": "https://arxiv.org/abs/physics/0611177"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "bae4be65-0726-406e-888c-dd40d9b20f51",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}