Pith Number

pith:K7337XK6

pith:2023:K7337XK6H7AS6Y6U6BO4VMHSGY

not attested not anchored not stored refs pending

Hierarchical Bayesian inference for community detection and connectivity of functional brain networks

Adeel Razi, Jonathan Keith, Leonardo Novelli, Lingbin Bian, Nizhuan Wang

A Bayesian latent block model detects community structures in functional brain networks at both individual and group levels while preserving subject variability.

arxiv:2301.07386 v5 · 2023-01-18 · q-bio.NC · stat.AP

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\usepackage{pith}
\pithnumber{K7337XK6H7AS6Y6U6BO4VMHSGY}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Analyses using both synthetic and real data show that our proposed method is more accurate and reliable compared with the commonly used (multilayer) modularity models.

C2weakest assumption

The community structure-based multivariate Gaussian generative model proposed in the paper accurately represents the statistical properties of real fMRI signals, allowing the simulation study to serve as a valid test of the detection method.

C3one line summary

A Bayesian latent block model enables multilayer community detection in weighted functional brain networks with automatic community count estimation, validated for consistency on synthetic data and improved reproducibility over modularity on HCP working memory fMRI.

Receipt and verification

First computed	2026-06-19T16:10:27.342920Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

57f7bfdd5e3fc12f63d4f05dcab0f2363460305316cf05151818a83baa7941ef

Aliases

arxiv: 2301.07386 · arxiv_version: 2301.07386v5 · doi: 10.48550/arxiv.2301.07386 · pith_short_12: K7337XK6H7AS · pith_short_16: K7337XK6H7AS6Y6U · pith_short_8: K7337XK6

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/K7337XK6H7AS6Y6U6BO4VMHSGY \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 57f7bfdd5e3fc12f63d4f05dcab0f2363460305316cf05151818a83baa7941ef

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "bd610bcad55de100ea0e74c405cc63c306ef25b311994ecc3812a55164caad93",
    "cross_cats_sorted": [
      "stat.AP"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "q-bio.NC",
    "submitted_at": "2023-01-18T09:30:46Z",
    "title_canon_sha256": "434501ee0a30ab31631e8dc755d8a422c882066c2a4d9bae90efeb83b2ec39da"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2301.07386",
    "kind": "arxiv",
    "version": 5
  }
}