{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:NPQVTRRONISP6VFLXJEMGKC6JK","short_pith_number":"pith:NPQVTRRO","schema_version":"1.0","canonical_sha256":"6be159c62e6a24ff54abba48c3285e4aa1edf81325c59c47fc09350851cb3b4b","source":{"kind":"arxiv","id":"1508.06380","version":1},"attestation_state":"computed","paper":{"title":"Network Community Detection on Metric Space","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Satya P. Ghrera, Suman Saha","submitted_at":"2015-08-26T06:55:20Z","abstract_excerpt":"Community detection in a complex network is an important problem of much interest in recent years. In general, a community detection algorithm chooses an objective function and captures the communities of the network by optimizing the objective function, and then, one uses various heuristics to solve the optimization problem to extract the interesting communities for the user. In this article, we demonstrate the procedure to transform a graph into points of a metric space and develop the methods of community detection with the help of a metric defined for a pair of points. We have also studied"},"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":"1508.06380","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2015-08-26T06:55:20Z","cross_cats_sorted":["physics.soc-ph"],"title_canon_sha256":"b36c80724110db2e74e498de986321db40addf943e56fd532ef560c02befc1a5","abstract_canon_sha256":"2b40803f92eed990d05dd16895f07e2ea69bbbcdd99e4f08696c5ea39c25c531"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:34:43.165578Z","signature_b64":"Fmn1JwIf67b1JGwOvL/WjdvS48qq5AgT1FW9CAMHNqCHo8u/y9gJwUR1T00dnmD1LFV3Np7Uw6JgIlOn+hNJDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6be159c62e6a24ff54abba48c3285e4aa1edf81325c59c47fc09350851cb3b4b","last_reissued_at":"2026-05-18T01:34:43.164999Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:34:43.164999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Network Community Detection on Metric Space","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Satya P. Ghrera, Suman Saha","submitted_at":"2015-08-26T06:55:20Z","abstract_excerpt":"Community detection in a complex network is an important problem of much interest in recent years. In general, a community detection algorithm chooses an objective function and captures the communities of the network by optimizing the objective function, and then, one uses various heuristics to solve the optimization problem to extract the interesting communities for the user. In this article, we demonstrate the procedure to transform a graph into points of a metric space and develop the methods of community detection with the help of a metric defined for a pair of points. We have also studied"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.06380","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":"1508.06380","created_at":"2026-05-18T01:34:43.165089+00:00"},{"alias_kind":"arxiv_version","alias_value":"1508.06380v1","created_at":"2026-05-18T01:34:43.165089+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.06380","created_at":"2026-05-18T01:34:43.165089+00:00"},{"alias_kind":"pith_short_12","alias_value":"NPQVTRRONISP","created_at":"2026-05-18T12:29:34.919912+00:00"},{"alias_kind":"pith_short_16","alias_value":"NPQVTRRONISP6VFL","created_at":"2026-05-18T12:29:34.919912+00:00"},{"alias_kind":"pith_short_8","alias_value":"NPQVTRRO","created_at":"2026-05-18T12:29:34.919912+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/NPQVTRRONISP6VFLXJEMGKC6JK","json":"https://pith.science/pith/NPQVTRRONISP6VFLXJEMGKC6JK.json","graph_json":"https://pith.science/api/pith-number/NPQVTRRONISP6VFLXJEMGKC6JK/graph.json","events_json":"https://pith.science/api/pith-number/NPQVTRRONISP6VFLXJEMGKC6JK/events.json","paper":"https://pith.science/paper/NPQVTRRO"},"agent_actions":{"view_html":"https://pith.science/pith/NPQVTRRONISP6VFLXJEMGKC6JK","download_json":"https://pith.science/pith/NPQVTRRONISP6VFLXJEMGKC6JK.json","view_paper":"https://pith.science/paper/NPQVTRRO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1508.06380&json=true","fetch_graph":"https://pith.science/api/pith-number/NPQVTRRONISP6VFLXJEMGKC6JK/graph.json","fetch_events":"https://pith.science/api/pith-number/NPQVTRRONISP6VFLXJEMGKC6JK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NPQVTRRONISP6VFLXJEMGKC6JK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NPQVTRRONISP6VFLXJEMGKC6JK/action/storage_attestation","attest_author":"https://pith.science/pith/NPQVTRRONISP6VFLXJEMGKC6JK/action/author_attestation","sign_citation":"https://pith.science/pith/NPQVTRRONISP6VFLXJEMGKC6JK/action/citation_signature","submit_replication":"https://pith.science/pith/NPQVTRRONISP6VFLXJEMGKC6JK/action/replication_record"}},"created_at":"2026-05-18T01:34:43.165089+00:00","updated_at":"2026-05-18T01:34:43.165089+00:00"}