{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:Q2DXNSVJO5MYRWASRRUHUXWWPV","short_pith_number":"pith:Q2DXNSVJ","schema_version":"1.0","canonical_sha256":"868776caa9775988d8128c687a5ed67d6d0cadf005fde598eceb2d7a39f4c558","source":{"kind":"arxiv","id":"1910.01212","version":1},"attestation_state":"computed","paper":{"title":"Social Influence and Radicalization: A Social Data Analytics Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CY","authors_text":"Vahid Moraveji Hashemi","submitted_at":"2019-09-04T02:36:59Z","abstract_excerpt":"The confluence of technological and societal advances is changing the nature of global terrorism. For example, engagement with Web, social media, and smart devices has the potential to affect the mental behavior of the individuals and influence extremist and criminal behaviors such as Radicalization. In this context, social data analytics (i.e., the discovery, interpretation, and communication of meaningful patterns in social data) and influence maximization (i.e., the problem of finding a small subset of nodes in a social network which can maximize the propagation of influence) has the potent"},"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":"1910.01212","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-09-04T02:36:59Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"278291733bc19bbd6cd68ce260988dddff13c55893126a6ed8681c9252ce6102","abstract_canon_sha256":"5842f5bd43a98bb96d5c8be8435b91025c451ae9086f3719cd61ac0bd93578c4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:09:28.023310Z","signature_b64":"aiNSzRNTU6TgENMb/0WMDJaUBaM1CfdbnGctoaWfzmka0Ir7QrXj1pXU/aweNOfcVqXbeUtN+ywg7+AM8KFMAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"868776caa9775988d8128c687a5ed67d6d0cadf005fde598eceb2d7a39f4c558","last_reissued_at":"2026-07-05T00:09:28.022977Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:09:28.022977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Social Influence and Radicalization: A Social Data Analytics Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CY","authors_text":"Vahid Moraveji Hashemi","submitted_at":"2019-09-04T02:36:59Z","abstract_excerpt":"The confluence of technological and societal advances is changing the nature of global terrorism. For example, engagement with Web, social media, and smart devices has the potential to affect the mental behavior of the individuals and influence extremist and criminal behaviors such as Radicalization. In this context, social data analytics (i.e., the discovery, interpretation, and communication of meaningful patterns in social data) and influence maximization (i.e., the problem of finding a small subset of nodes in a social network which can maximize the propagation of influence) has the potent"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.01212","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1910.01212/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"1910.01212","created_at":"2026-07-05T00:09:28.023032+00:00"},{"alias_kind":"arxiv_version","alias_value":"1910.01212v1","created_at":"2026-07-05T00:09:28.023032+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.01212","created_at":"2026-07-05T00:09:28.023032+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q2DXNSVJO5MY","created_at":"2026-07-05T00:09:28.023032+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q2DXNSVJO5MYRWAS","created_at":"2026-07-05T00:09:28.023032+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q2DXNSVJ","created_at":"2026-07-05T00:09:28.023032+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/Q2DXNSVJO5MYRWASRRUHUXWWPV","json":"https://pith.science/pith/Q2DXNSVJO5MYRWASRRUHUXWWPV.json","graph_json":"https://pith.science/api/pith-number/Q2DXNSVJO5MYRWASRRUHUXWWPV/graph.json","events_json":"https://pith.science/api/pith-number/Q2DXNSVJO5MYRWASRRUHUXWWPV/events.json","paper":"https://pith.science/paper/Q2DXNSVJ"},"agent_actions":{"view_html":"https://pith.science/pith/Q2DXNSVJO5MYRWASRRUHUXWWPV","download_json":"https://pith.science/pith/Q2DXNSVJO5MYRWASRRUHUXWWPV.json","view_paper":"https://pith.science/paper/Q2DXNSVJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1910.01212&json=true","fetch_graph":"https://pith.science/api/pith-number/Q2DXNSVJO5MYRWASRRUHUXWWPV/graph.json","fetch_events":"https://pith.science/api/pith-number/Q2DXNSVJO5MYRWASRRUHUXWWPV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q2DXNSVJO5MYRWASRRUHUXWWPV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q2DXNSVJO5MYRWASRRUHUXWWPV/action/storage_attestation","attest_author":"https://pith.science/pith/Q2DXNSVJO5MYRWASRRUHUXWWPV/action/author_attestation","sign_citation":"https://pith.science/pith/Q2DXNSVJO5MYRWASRRUHUXWWPV/action/citation_signature","submit_replication":"https://pith.science/pith/Q2DXNSVJO5MYRWASRRUHUXWWPV/action/replication_record"}},"created_at":"2026-07-05T00:09:28.023032+00:00","updated_at":"2026-07-05T00:09:28.023032+00:00"}