{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:MPCLXWULVIFWZGFIJLZAVK735X","short_pith_number":"pith:MPCLXWUL","schema_version":"1.0","canonical_sha256":"63c4bbda8baa0b6c98a84af20aabfbedf0945a4142e790463a9c6508f147af78","source":{"kind":"arxiv","id":"1711.06733","version":1},"attestation_state":"computed","paper":{"title":"Hopping in the crowd to unveil network topology","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cond-mat.stat-mech","authors_text":"Duccio Fanelli, Francesca Di Patti, Francesco Piazza, Malbor Asllani, Timoteo Carletti","submitted_at":"2017-11-17T21:37:18Z","abstract_excerpt":"We introduce a nonlinear operator to model diffusion on a complex undirected network under crowded conditions. We show that the asymptotic distribution of diffusing agents is a nonlinear function of the nodes' degree and saturates to a constant value for sufficiently large connectivities, at variance with standard diffusion in the absence of excluded-volume effects. Building on this observation, we define and solve an inverse problem, aimed at reconstructing the a priori unknown connectivity distribution. The method gathers all the necessary information by repeating a limited number of indepen"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1711.06733","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2017-11-17T21:37:18Z","cross_cats_sorted":["physics.soc-ph"],"title_canon_sha256":"f258e531c8ec6a9403b9ff844b284bb63fecad0712d5807ed70ec16d926ac446","abstract_canon_sha256":"91a601f23d9d2cf0f3109e73b1f7aab61d709f5601f4b88707d9ed6ba81baa06"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:15.106281Z","signature_b64":"J+pSpCtZmgn/DqXfACxkfxOAN/6oih/Jc3rVlkFvq8D2phvLRAqk7emcg4bNBktVXk368yQUkY5jako+h1VnCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"63c4bbda8baa0b6c98a84af20aabfbedf0945a4142e790463a9c6508f147af78","last_reissued_at":"2026-05-18T00:18:15.105727Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:15.105727Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hopping in the crowd to unveil network topology","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cond-mat.stat-mech","authors_text":"Duccio Fanelli, Francesca Di Patti, Francesco Piazza, Malbor Asllani, Timoteo Carletti","submitted_at":"2017-11-17T21:37:18Z","abstract_excerpt":"We introduce a nonlinear operator to model diffusion on a complex undirected network under crowded conditions. We show that the asymptotic distribution of diffusing agents is a nonlinear function of the nodes' degree and saturates to a constant value for sufficiently large connectivities, at variance with standard diffusion in the absence of excluded-volume effects. Building on this observation, we define and solve an inverse problem, aimed at reconstructing the a priori unknown connectivity distribution. The method gathers all the necessary information by repeating a limited number of indepen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06733","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1711.06733","created_at":"2026-05-18T00:18:15.105797+00:00"},{"alias_kind":"arxiv_version","alias_value":"1711.06733v1","created_at":"2026-05-18T00:18:15.105797+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06733","created_at":"2026-05-18T00:18:15.105797+00:00"},{"alias_kind":"pith_short_12","alias_value":"MPCLXWULVIFW","created_at":"2026-05-18T12:31:31.346846+00:00"},{"alias_kind":"pith_short_16","alias_value":"MPCLXWULVIFWZGFI","created_at":"2026-05-18T12:31:31.346846+00:00"},{"alias_kind":"pith_short_8","alias_value":"MPCLXWUL","created_at":"2026-05-18T12:31:31.346846+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MPCLXWULVIFWZGFIJLZAVK735X","json":"https://pith.science/pith/MPCLXWULVIFWZGFIJLZAVK735X.json","graph_json":"https://pith.science/api/pith-number/MPCLXWULVIFWZGFIJLZAVK735X/graph.json","events_json":"https://pith.science/api/pith-number/MPCLXWULVIFWZGFIJLZAVK735X/events.json","paper":"https://pith.science/paper/MPCLXWUL"},"agent_actions":{"view_html":"https://pith.science/pith/MPCLXWULVIFWZGFIJLZAVK735X","download_json":"https://pith.science/pith/MPCLXWULVIFWZGFIJLZAVK735X.json","view_paper":"https://pith.science/paper/MPCLXWUL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1711.06733&json=true","fetch_graph":"https://pith.science/api/pith-number/MPCLXWULVIFWZGFIJLZAVK735X/graph.json","fetch_events":"https://pith.science/api/pith-number/MPCLXWULVIFWZGFIJLZAVK735X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MPCLXWULVIFWZGFIJLZAVK735X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MPCLXWULVIFWZGFIJLZAVK735X/action/storage_attestation","attest_author":"https://pith.science/pith/MPCLXWULVIFWZGFIJLZAVK735X/action/author_attestation","sign_citation":"https://pith.science/pith/MPCLXWULVIFWZGFIJLZAVK735X/action/citation_signature","submit_replication":"https://pith.science/pith/MPCLXWULVIFWZGFIJLZAVK735X/action/replication_record"}},"created_at":"2026-05-18T00:18:15.105797+00:00","updated_at":"2026-05-18T00:18:15.105797+00:00"}