{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:NMTQH4EVBYOHFPMCTASOVWLUUD","short_pith_number":"pith:NMTQH4EV","schema_version":"1.0","canonical_sha256":"6b2703f0950e1c72bd829824ead974a0c122438642bdc49fa0f18c757191bc3a","source":{"kind":"arxiv","id":"1305.6489","version":2},"attestation_state":"computed","paper":{"title":"Social Sensor Placement in Large Scale Networks: A Graph Sampling Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Don Towsley, John C. S. Lui, Junzhou Zhao, Pinghui Wang, Xiaohong Guan","submitted_at":"2013-05-28T13:49:00Z","abstract_excerpt":"Sensor placement for the purpose of detecting/tracking news outbreak and preventing rumor spreading is a challenging problem in a large scale online social network (OSN). This problem is a kind of subset selection problem: choosing a small set of items from a large population so to maximize some prespecified set function. However, it is known to be NP-complete. Existing heuristics are very costly especially for modern OSNs which usually contain hundreds of millions of users. This paper aims to design methods to find \\emph{good solutions} that can well trade off efficiency and accuracy. We firs"},"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":"1305.6489","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2013-05-28T13:49:00Z","cross_cats_sorted":["physics.soc-ph"],"title_canon_sha256":"b1880727b8efc81d0182d5ec6cd04f1c3dac8f9382f8e6b892e5a44f66512feb","abstract_canon_sha256":"f56d19f71bcb51d8aab88595efc355a3d9a735aa23101c614107e420aa93f334"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:05:26.026007Z","signature_b64":"gJSNwz6PeYA2edy8YRbLAwFuACO2n977hgePDxzAqljFd6NXqsAQ6ia6GnEYKywyKQ8NV1qfFXkxVYljHCAfBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b2703f0950e1c72bd829824ead974a0c122438642bdc49fa0f18c757191bc3a","last_reissued_at":"2026-05-18T03:05:26.025087Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:05:26.025087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Social Sensor Placement in Large Scale Networks: A Graph Sampling Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Don Towsley, John C. S. Lui, Junzhou Zhao, Pinghui Wang, Xiaohong Guan","submitted_at":"2013-05-28T13:49:00Z","abstract_excerpt":"Sensor placement for the purpose of detecting/tracking news outbreak and preventing rumor spreading is a challenging problem in a large scale online social network (OSN). This problem is a kind of subset selection problem: choosing a small set of items from a large population so to maximize some prespecified set function. However, it is known to be NP-complete. Existing heuristics are very costly especially for modern OSNs which usually contain hundreds of millions of users. This paper aims to design methods to find \\emph{good solutions} that can well trade off efficiency and accuracy. We firs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.6489","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":"1305.6489","created_at":"2026-05-18T03:05:26.025231+00:00"},{"alias_kind":"arxiv_version","alias_value":"1305.6489v2","created_at":"2026-05-18T03:05:26.025231+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.6489","created_at":"2026-05-18T03:05:26.025231+00:00"},{"alias_kind":"pith_short_12","alias_value":"NMTQH4EVBYOH","created_at":"2026-05-18T12:27:52.871228+00:00"},{"alias_kind":"pith_short_16","alias_value":"NMTQH4EVBYOHFPMC","created_at":"2026-05-18T12:27:52.871228+00:00"},{"alias_kind":"pith_short_8","alias_value":"NMTQH4EV","created_at":"2026-05-18T12:27:52.871228+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/NMTQH4EVBYOHFPMCTASOVWLUUD","json":"https://pith.science/pith/NMTQH4EVBYOHFPMCTASOVWLUUD.json","graph_json":"https://pith.science/api/pith-number/NMTQH4EVBYOHFPMCTASOVWLUUD/graph.json","events_json":"https://pith.science/api/pith-number/NMTQH4EVBYOHFPMCTASOVWLUUD/events.json","paper":"https://pith.science/paper/NMTQH4EV"},"agent_actions":{"view_html":"https://pith.science/pith/NMTQH4EVBYOHFPMCTASOVWLUUD","download_json":"https://pith.science/pith/NMTQH4EVBYOHFPMCTASOVWLUUD.json","view_paper":"https://pith.science/paper/NMTQH4EV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1305.6489&json=true","fetch_graph":"https://pith.science/api/pith-number/NMTQH4EVBYOHFPMCTASOVWLUUD/graph.json","fetch_events":"https://pith.science/api/pith-number/NMTQH4EVBYOHFPMCTASOVWLUUD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NMTQH4EVBYOHFPMCTASOVWLUUD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NMTQH4EVBYOHFPMCTASOVWLUUD/action/storage_attestation","attest_author":"https://pith.science/pith/NMTQH4EVBYOHFPMCTASOVWLUUD/action/author_attestation","sign_citation":"https://pith.science/pith/NMTQH4EVBYOHFPMCTASOVWLUUD/action/citation_signature","submit_replication":"https://pith.science/pith/NMTQH4EVBYOHFPMCTASOVWLUUD/action/replication_record"}},"created_at":"2026-05-18T03:05:26.025231+00:00","updated_at":"2026-05-18T03:05:26.025231+00:00"}