{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:VJDG4LXSRDUY7TWM6Z26FBC7HO","short_pith_number":"pith:VJDG4LXS","schema_version":"1.0","canonical_sha256":"aa466e2ef288e98fceccf675e2845f3ba184c973a30b06574a97753e20d7ccb9","source":{"kind":"arxiv","id":"1612.06115","version":2},"attestation_state":"computed","paper":{"title":"Complex Network Tools to Understand the Behavior of Criminality in Urban Areas","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Bruno B. Machado, Caetano Traina-Jr, Elaine P. M. Sousa, Gabriel Spadon, Jose F. Rodrigues-Jr, Lucas C. Scabora, Marcus V. S. Araujo, Paulo H. Oliveira","submitted_at":"2016-12-19T10:45:09Z","abstract_excerpt":"Complex networks are nowadays employed in several applications. Modeling urban street networks is one of them, and in particular to analyze criminal aspects of a city. Several research groups have focused on such application, but until now, there is a lack of a well-defined methodology for employing complex networks in a whole crime analysis process, i.e. from data preparation to a deep analysis of criminal communities. Furthermore, the \"toolset\" available for those works is not complete enough, also lacking techniques to maintain up-to-date, complete crime datasets and proper assessment measu"},"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":"1612.06115","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2016-12-19T10:45:09Z","cross_cats_sorted":["physics.soc-ph"],"title_canon_sha256":"079410e4db07bf2a7b9ee50c71751dc6ab4d59b358dcb544a8482efca6118f4a","abstract_canon_sha256":"1e9052a03d22128f34d288115632a79c8fce80b4846d7e46febe84922eda9197"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:57:06.229089Z","signature_b64":"3TJXOdMznuVKbT5WWx0yhSaPEfyUbYSIYhcL5/klRLk4rlK4dTQ2iPmny/bcaiYsbom+lxCvVW2wwpld3kmXBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa466e2ef288e98fceccf675e2845f3ba184c973a30b06574a97753e20d7ccb9","last_reissued_at":"2026-05-17T23:57:06.228637Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:57:06.228637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Complex Network Tools to Understand the Behavior of Criminality in Urban Areas","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Bruno B. Machado, Caetano Traina-Jr, Elaine P. M. Sousa, Gabriel Spadon, Jose F. Rodrigues-Jr, Lucas C. Scabora, Marcus V. S. Araujo, Paulo H. Oliveira","submitted_at":"2016-12-19T10:45:09Z","abstract_excerpt":"Complex networks are nowadays employed in several applications. Modeling urban street networks is one of them, and in particular to analyze criminal aspects of a city. Several research groups have focused on such application, but until now, there is a lack of a well-defined methodology for employing complex networks in a whole crime analysis process, i.e. from data preparation to a deep analysis of criminal communities. Furthermore, the \"toolset\" available for those works is not complete enough, also lacking techniques to maintain up-to-date, complete crime datasets and proper assessment measu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.06115","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":"1612.06115","created_at":"2026-05-17T23:57:06.228707+00:00"},{"alias_kind":"arxiv_version","alias_value":"1612.06115v2","created_at":"2026-05-17T23:57:06.228707+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.06115","created_at":"2026-05-17T23:57:06.228707+00:00"},{"alias_kind":"pith_short_12","alias_value":"VJDG4LXSRDUY","created_at":"2026-05-18T12:30:48.956258+00:00"},{"alias_kind":"pith_short_16","alias_value":"VJDG4LXSRDUY7TWM","created_at":"2026-05-18T12:30:48.956258+00:00"},{"alias_kind":"pith_short_8","alias_value":"VJDG4LXS","created_at":"2026-05-18T12:30:48.956258+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/VJDG4LXSRDUY7TWM6Z26FBC7HO","json":"https://pith.science/pith/VJDG4LXSRDUY7TWM6Z26FBC7HO.json","graph_json":"https://pith.science/api/pith-number/VJDG4LXSRDUY7TWM6Z26FBC7HO/graph.json","events_json":"https://pith.science/api/pith-number/VJDG4LXSRDUY7TWM6Z26FBC7HO/events.json","paper":"https://pith.science/paper/VJDG4LXS"},"agent_actions":{"view_html":"https://pith.science/pith/VJDG4LXSRDUY7TWM6Z26FBC7HO","download_json":"https://pith.science/pith/VJDG4LXSRDUY7TWM6Z26FBC7HO.json","view_paper":"https://pith.science/paper/VJDG4LXS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1612.06115&json=true","fetch_graph":"https://pith.science/api/pith-number/VJDG4LXSRDUY7TWM6Z26FBC7HO/graph.json","fetch_events":"https://pith.science/api/pith-number/VJDG4LXSRDUY7TWM6Z26FBC7HO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VJDG4LXSRDUY7TWM6Z26FBC7HO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VJDG4LXSRDUY7TWM6Z26FBC7HO/action/storage_attestation","attest_author":"https://pith.science/pith/VJDG4LXSRDUY7TWM6Z26FBC7HO/action/author_attestation","sign_citation":"https://pith.science/pith/VJDG4LXSRDUY7TWM6Z26FBC7HO/action/citation_signature","submit_replication":"https://pith.science/pith/VJDG4LXSRDUY7TWM6Z26FBC7HO/action/replication_record"}},"created_at":"2026-05-17T23:57:06.228707+00:00","updated_at":"2026-05-17T23:57:06.228707+00:00"}