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pith:RNSR6Z4C

pith:2026:RNSR6Z4CWKM36RVESJLP7RPUEX
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Evidence for a Functional Proximity Law in Multilayer Networks

Vladi Ivanov

In multilayer networks, hub importance persists more strongly across functionally similar layers than dissimilar ones.

arxiv:2604.23639 v2 · 2026-04-26 · cs.SI

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

Hub importance scores in multilayer networks persist more strongly between functionally similar layers than dissimilar ones. We call this the Functional Proximity Law and test it across 17 pre-registered experiments.

C2weakest assumption

That functional similarity between layers can be defined consistently and objectively across disparate domains and that hub importance metrics remain comparable when layers come from different data sources and measurement methods.

C3one line summary

Hub importance scores in multilayer networks persist more strongly between functionally similar layers than dissimilar ones, supported by 17 pre-registered experiments with 9 confirmations and external validations.

Receipt and verification
First computed 2026-05-26T01:02:34.334376Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

8b651f6782b299bf46a49256ffc5f425da807ba2df8aecf362db55b552bfd5fe

Aliases

arxiv: 2604.23639 · arxiv_version: 2604.23639v2 · doi: 10.48550/arxiv.2604.23639 · pith_short_12: RNSR6Z4CWKM3 · pith_short_16: RNSR6Z4CWKM36RVE · pith_short_8: RNSR6Z4C
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RNSR6Z4CWKM36RVESJLP7RPUEX \
  | 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: 8b651f6782b299bf46a49256ffc5f425da807ba2df8aecf362db55b552bfd5fe
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.SI",
    "submitted_at": "2026-04-26T09:51:28Z",
    "title_canon_sha256": "92e1e65a0c5532750b5fae03764f789713a7681535ba8e2033c4cb264afbd035"
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