{
  "annotation_id": "9a00c850-74a3-4a4d-a1d1-6104314291b9",
  "date_created": "2026-03-02T18:00:46.101000Z",
  "date_modified": "2026-03-02T18:00:46.101000Z",
  "file_hash": "5b765c2c2b3962c9bee53cb698d6a8d7673bcad6a67f7d3721273d9604245753",
  "private": false,
  "record": {
    "abstract": "Entropy and information provide natural measures of correlation among\nelements in a network. We construct here the information theoretic analog of\nconnected correlation functions: irreducible $N$--point correlation is measured\nby a decrease in entropy for the joint distribution of $N$ variables relative\nto the maximum entropy allowed by all the observed $N-1$ variable\ndistributions. We calculate the ``connected information\u0027\u0027 terms for several\nexamples, and show that it also enables the decomposition of the information\nthat is carried by a population of elements about an outside source.",
    "arxiv_id": "physics/0307072",
    "authors": [
      "Elad Schneidman",
      "Susanne Still",
      "Michael J. Berry II",
      "William Bialek"
    ],
    "categories": [
      "physics.bio-ph",
      "cond-mat.dis-nn",
      "cond-mat.stat-mech",
      "q-bio.NC"
    ],
    "doi": "10.1103/PhysRevLett.91.238701",
    "journal_ref": "Phys. Rev. Lett. 91, 238701:1-4 (2003)",
    "title": "Network information and connected correlations",
    "url": "https://arxiv.org/abs/physics/0307072"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "84d66a3b-6cc5-45c5-bcb3-5bb3121399ed",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}