{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:R5S7PLDDA3V72L63K6HOZGN3IS","short_pith_number":"pith:R5S7PLDD","schema_version":"1.0","canonical_sha256":"8f65f7ac6306ebfd2fdb578eec99bb44b2084a1852a1af516ed9430086574d74","source":{"kind":"arxiv","id":"1509.09254","version":1},"attestation_state":"computed","paper":{"title":"Community detection for interaction networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph","stat.ME"],"primary_cat":"cs.SI","authors_text":"Harry Crane, Walter Dempsey","submitted_at":"2015-09-30T16:56:05Z","abstract_excerpt":"In many applications, it is common practice to obtain a network from interaction counts by thresholding each pairwise count at a prescribed value. Our analysis calls attention to the dependence of certain methods, notably Newman--Girvan modularity, on the choice of threshold. Essentially, the threshold either separates the network into clusters automatically, making the algorithm's job trivial, or erases all structure in the data, rendering clustering impossible. By fitting the original interaction counts as given, we show that minor modifications to classical statistical methods outperform th"},"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":"1509.09254","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2015-09-30T16:56:05Z","cross_cats_sorted":["physics.soc-ph","stat.ME"],"title_canon_sha256":"f2eaceff8d3a80db5701a5e32b16be730ef8c8f26f1a95ad534f0c972f476f1c","abstract_canon_sha256":"c5fa7652b73f5319e43049018ba4361ac4345166f7e8b7c01dc574069a8b1630"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:31:21.899256Z","signature_b64":"D3jF5c1vMEVBFwKvVhFvEkQVa0es8VjDLAzwshyMeQ2F+zqymflbIbPHUyTe9OEu+3gNFv1exevY/jCWbSPTCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f65f7ac6306ebfd2fdb578eec99bb44b2084a1852a1af516ed9430086574d74","last_reissued_at":"2026-05-18T01:31:21.898732Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:31:21.898732Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Community detection for interaction networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph","stat.ME"],"primary_cat":"cs.SI","authors_text":"Harry Crane, Walter Dempsey","submitted_at":"2015-09-30T16:56:05Z","abstract_excerpt":"In many applications, it is common practice to obtain a network from interaction counts by thresholding each pairwise count at a prescribed value. Our analysis calls attention to the dependence of certain methods, notably Newman--Girvan modularity, on the choice of threshold. Essentially, the threshold either separates the network into clusters automatically, making the algorithm's job trivial, or erases all structure in the data, rendering clustering impossible. By fitting the original interaction counts as given, we show that minor modifications to classical statistical methods outperform th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.09254","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":"1509.09254","created_at":"2026-05-18T01:31:21.898806+00:00"},{"alias_kind":"arxiv_version","alias_value":"1509.09254v1","created_at":"2026-05-18T01:31:21.898806+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.09254","created_at":"2026-05-18T01:31:21.898806+00:00"},{"alias_kind":"pith_short_12","alias_value":"R5S7PLDDA3V7","created_at":"2026-05-18T12:29:39.896362+00:00"},{"alias_kind":"pith_short_16","alias_value":"R5S7PLDDA3V72L63","created_at":"2026-05-18T12:29:39.896362+00:00"},{"alias_kind":"pith_short_8","alias_value":"R5S7PLDD","created_at":"2026-05-18T12:29:39.896362+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/R5S7PLDDA3V72L63K6HOZGN3IS","json":"https://pith.science/pith/R5S7PLDDA3V72L63K6HOZGN3IS.json","graph_json":"https://pith.science/api/pith-number/R5S7PLDDA3V72L63K6HOZGN3IS/graph.json","events_json":"https://pith.science/api/pith-number/R5S7PLDDA3V72L63K6HOZGN3IS/events.json","paper":"https://pith.science/paper/R5S7PLDD"},"agent_actions":{"view_html":"https://pith.science/pith/R5S7PLDDA3V72L63K6HOZGN3IS","download_json":"https://pith.science/pith/R5S7PLDDA3V72L63K6HOZGN3IS.json","view_paper":"https://pith.science/paper/R5S7PLDD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1509.09254&json=true","fetch_graph":"https://pith.science/api/pith-number/R5S7PLDDA3V72L63K6HOZGN3IS/graph.json","fetch_events":"https://pith.science/api/pith-number/R5S7PLDDA3V72L63K6HOZGN3IS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/R5S7PLDDA3V72L63K6HOZGN3IS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/R5S7PLDDA3V72L63K6HOZGN3IS/action/storage_attestation","attest_author":"https://pith.science/pith/R5S7PLDDA3V72L63K6HOZGN3IS/action/author_attestation","sign_citation":"https://pith.science/pith/R5S7PLDDA3V72L63K6HOZGN3IS/action/citation_signature","submit_replication":"https://pith.science/pith/R5S7PLDDA3V72L63K6HOZGN3IS/action/replication_record"}},"created_at":"2026-05-18T01:31:21.898806+00:00","updated_at":"2026-05-18T01:31:21.898806+00:00"}