{
  "annotation_id": "9f838b9c-7a8b-4930-b3fd-3b269af3d3a4",
  "date_created": "2026-03-02T18:01:35.299000Z",
  "date_modified": "2026-03-02T18:01:35.299000Z",
  "file_hash": "3126421d6f77b8617c9027071159352649e5b14c271fbab358d54eb00b099f72",
  "private": false,
  "record": {
    "abstract": "The spread in time of a mutation through a population is studied analytically\nand computationally in fully-connected networks and on spatial lattices. The\ntime, t_*, for a favourable mutation to dominate scales with population size N\nas N^{(D+1)/D} in D-dimensional hypercubic lattices and as N ln N in\nfully-connected graphs. It is shown that the surface of the interface between\nmutants and non-mutants is crucial in predicting the dynamics of the system.\nNetwork topology has a significant effect on the equilibrium fitness of a\nsimple population model incorporating multiple mutations and sexual\nreproduction. Includes supplementary information.",
    "arxiv_id": "q-bio/0604009",
    "authors": [
      "C. J. Paley",
      "S. N. Taraskin",
      "S. R. Elliott"
    ],
    "categories": [
      "q-bio.PE"
    ],
    "doi": "10.1103/PhysRevLett.98.098103",
    "journal_ref": "Phys. Rev. Lett. 98, 098103 (2007)",
    "title": "Temporal and dimensional effects in evolutionary graph theory",
    "url": "https://arxiv.org/abs/q-bio/0604009"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "48330eb1-3fa3-4cf6-a03a-42acb2dfe6ab",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}