{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:BWMSEFCCNQMUUY3KYUAJYX7PDI","short_pith_number":"pith:BWMSEFCC","schema_version":"1.0","canonical_sha256":"0d992214426c194a636ac5009c5fef1a27a0fa7a695781b9ac8a0fe6010ba487","source":{"kind":"arxiv","id":"1510.07819","version":2},"attestation_state":"computed","paper":{"title":"Link Prediction with Node Clustering Coefficient","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph","stat.AP"],"primary_cat":"cs.SI","authors_text":"Jing Wang, Steve Gregory, Youfang Lin, Zhihao Wu","submitted_at":"2015-10-27T09:24:39Z","abstract_excerpt":"Predicting missing links in incomplete complex networks efficiently and accurately is still a challenging problem. The recently proposed CAR (Cannistrai-Alanis-Ravai) index shows the power of local link/triangle information in improving link-prediction accuracy. With the information of level-2 links, which are links between common-neighbors, most classical similarity indices can be improved. Nevertheless, calculating the number of level-2 links makes CAR index not efficient enough. Inspired by the idea of employing local link/triangle information, we propose a new similarity index with more lo"},"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":"1510.07819","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2015-10-27T09:24:39Z","cross_cats_sorted":["physics.soc-ph","stat.AP"],"title_canon_sha256":"d374524fb9e4695b22100951e6bf50a165f936de9542cc2648ad70f2ece9d2c4","abstract_canon_sha256":"a350c0fd0de6f325f5c7f72df74abdeef12fe601f705900259d0124c0017156e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:18:42.111350Z","signature_b64":"S0739oyC5fxDKV8p1o1oHIiFkhObxT3a5+jGUzpONYTqNL719Ia9lMjMmfX+9VRHMldUERz6pp5k7g05rwgjAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d992214426c194a636ac5009c5fef1a27a0fa7a695781b9ac8a0fe6010ba487","last_reissued_at":"2026-05-18T01:18:42.110745Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:18:42.110745Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Link Prediction with Node Clustering Coefficient","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph","stat.AP"],"primary_cat":"cs.SI","authors_text":"Jing Wang, Steve Gregory, Youfang Lin, Zhihao Wu","submitted_at":"2015-10-27T09:24:39Z","abstract_excerpt":"Predicting missing links in incomplete complex networks efficiently and accurately is still a challenging problem. The recently proposed CAR (Cannistrai-Alanis-Ravai) index shows the power of local link/triangle information in improving link-prediction accuracy. With the information of level-2 links, which are links between common-neighbors, most classical similarity indices can be improved. Nevertheless, calculating the number of level-2 links makes CAR index not efficient enough. Inspired by the idea of employing local link/triangle information, we propose a new similarity index with more lo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.07819","kind":"arxiv","version":2},"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":"1510.07819","created_at":"2026-05-18T01:18:42.110827+00:00"},{"alias_kind":"arxiv_version","alias_value":"1510.07819v2","created_at":"2026-05-18T01:18:42.110827+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.07819","created_at":"2026-05-18T01:18:42.110827+00:00"},{"alias_kind":"pith_short_12","alias_value":"BWMSEFCCNQMU","created_at":"2026-05-18T12:29:14.074870+00:00"},{"alias_kind":"pith_short_16","alias_value":"BWMSEFCCNQMUUY3K","created_at":"2026-05-18T12:29:14.074870+00:00"},{"alias_kind":"pith_short_8","alias_value":"BWMSEFCC","created_at":"2026-05-18T12:29:14.074870+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/BWMSEFCCNQMUUY3KYUAJYX7PDI","json":"https://pith.science/pith/BWMSEFCCNQMUUY3KYUAJYX7PDI.json","graph_json":"https://pith.science/api/pith-number/BWMSEFCCNQMUUY3KYUAJYX7PDI/graph.json","events_json":"https://pith.science/api/pith-number/BWMSEFCCNQMUUY3KYUAJYX7PDI/events.json","paper":"https://pith.science/paper/BWMSEFCC"},"agent_actions":{"view_html":"https://pith.science/pith/BWMSEFCCNQMUUY3KYUAJYX7PDI","download_json":"https://pith.science/pith/BWMSEFCCNQMUUY3KYUAJYX7PDI.json","view_paper":"https://pith.science/paper/BWMSEFCC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1510.07819&json=true","fetch_graph":"https://pith.science/api/pith-number/BWMSEFCCNQMUUY3KYUAJYX7PDI/graph.json","fetch_events":"https://pith.science/api/pith-number/BWMSEFCCNQMUUY3KYUAJYX7PDI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BWMSEFCCNQMUUY3KYUAJYX7PDI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BWMSEFCCNQMUUY3KYUAJYX7PDI/action/storage_attestation","attest_author":"https://pith.science/pith/BWMSEFCCNQMUUY3KYUAJYX7PDI/action/author_attestation","sign_citation":"https://pith.science/pith/BWMSEFCCNQMUUY3KYUAJYX7PDI/action/citation_signature","submit_replication":"https://pith.science/pith/BWMSEFCCNQMUUY3KYUAJYX7PDI/action/replication_record"}},"created_at":"2026-05-18T01:18:42.110827+00:00","updated_at":"2026-05-18T01:18:42.110827+00:00"}