{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:B34EOKMVJDCCVNGIL2NNGOQQID","short_pith_number":"pith:B34EOKMV","schema_version":"1.0","canonical_sha256":"0ef847299548c42ab4c85e9ad33a1040e4c9a74f08906d6f5ffaa8bbd99bef59","source":{"kind":"arxiv","id":"1511.08749","version":4},"attestation_state":"computed","paper":{"title":"What does Big Data tell? Sampling the social network by communication channels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"physics.soc-ph","authors_text":"Hang-Hyun Jo, J\\'anos Kert\\'esz, J\\'anos T\\\"or\\\"ok, Kimmo Kaski, Yohsuke Murase","submitted_at":"2015-11-27T17:22:54Z","abstract_excerpt":"Big Data has become the primary source of understanding the structure and dynamics of the society at large scale. The network of social interactions can be considered as a multiplex, where each layer corresponds to one communication channel and the aggregate of all of them constitutes the entire social network. However, usually one has information only about one of the channels or even a part of it, which should be considered as a subset or sample of the whole. Here we introduce a model based on a natural bilateral communication channel selection mechanism, which for one channel leads to consi"},"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":"1511.08749","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2015-11-27T17:22:54Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"950018fdf312abc1f976b7fa15460636e093b3aa4fc4f5e9b8bcac98e3ea2d3a","abstract_canon_sha256":"453f5110a62cd2061ccf5fc785e1d2a44afcdea3836dde07ff57b65d3f89690a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:54:41.192397Z","signature_b64":"q7XBXK8SabphBLEQR8ds6o+IENgPSpoMolmnrkXXfYY3tqcx9R3lBRQyXIUooA+0lVcdCrwbFzsS55+UW5K4CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ef847299548c42ab4c85e9ad33a1040e4c9a74f08906d6f5ffaa8bbd99bef59","last_reissued_at":"2026-05-18T00:54:41.191885Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:54:41.191885Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"What does Big Data tell? Sampling the social network by communication channels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"physics.soc-ph","authors_text":"Hang-Hyun Jo, J\\'anos Kert\\'esz, J\\'anos T\\\"or\\\"ok, Kimmo Kaski, Yohsuke Murase","submitted_at":"2015-11-27T17:22:54Z","abstract_excerpt":"Big Data has become the primary source of understanding the structure and dynamics of the society at large scale. The network of social interactions can be considered as a multiplex, where each layer corresponds to one communication channel and the aggregate of all of them constitutes the entire social network. However, usually one has information only about one of the channels or even a part of it, which should be considered as a subset or sample of the whole. Here we introduce a model based on a natural bilateral communication channel selection mechanism, which for one channel leads to consi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.08749","kind":"arxiv","version":4},"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":"1511.08749","created_at":"2026-05-18T00:54:41.191970+00:00"},{"alias_kind":"arxiv_version","alias_value":"1511.08749v4","created_at":"2026-05-18T00:54:41.191970+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.08749","created_at":"2026-05-18T00:54:41.191970+00:00"},{"alias_kind":"pith_short_12","alias_value":"B34EOKMVJDCC","created_at":"2026-05-18T12:29:14.074870+00:00"},{"alias_kind":"pith_short_16","alias_value":"B34EOKMVJDCCVNGI","created_at":"2026-05-18T12:29:14.074870+00:00"},{"alias_kind":"pith_short_8","alias_value":"B34EOKMV","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/B34EOKMVJDCCVNGIL2NNGOQQID","json":"https://pith.science/pith/B34EOKMVJDCCVNGIL2NNGOQQID.json","graph_json":"https://pith.science/api/pith-number/B34EOKMVJDCCVNGIL2NNGOQQID/graph.json","events_json":"https://pith.science/api/pith-number/B34EOKMVJDCCVNGIL2NNGOQQID/events.json","paper":"https://pith.science/paper/B34EOKMV"},"agent_actions":{"view_html":"https://pith.science/pith/B34EOKMVJDCCVNGIL2NNGOQQID","download_json":"https://pith.science/pith/B34EOKMVJDCCVNGIL2NNGOQQID.json","view_paper":"https://pith.science/paper/B34EOKMV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1511.08749&json=true","fetch_graph":"https://pith.science/api/pith-number/B34EOKMVJDCCVNGIL2NNGOQQID/graph.json","fetch_events":"https://pith.science/api/pith-number/B34EOKMVJDCCVNGIL2NNGOQQID/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/B34EOKMVJDCCVNGIL2NNGOQQID/action/timestamp_anchor","attest_storage":"https://pith.science/pith/B34EOKMVJDCCVNGIL2NNGOQQID/action/storage_attestation","attest_author":"https://pith.science/pith/B34EOKMVJDCCVNGIL2NNGOQQID/action/author_attestation","sign_citation":"https://pith.science/pith/B34EOKMVJDCCVNGIL2NNGOQQID/action/citation_signature","submit_replication":"https://pith.science/pith/B34EOKMVJDCCVNGIL2NNGOQQID/action/replication_record"}},"created_at":"2026-05-18T00:54:41.191970+00:00","updated_at":"2026-05-18T00:54:41.191970+00:00"}