{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:YSWNJC7ZMNXONBZCDY5ZDAWDWH","short_pith_number":"pith:YSWNJC7Z","schema_version":"1.0","canonical_sha256":"c4acd48bf9636ee687221e3b9182c3b1d99dff1a487d8f68a82fc8b05dcbeab1","source":{"kind":"arxiv","id":"1710.11267","version":1},"attestation_state":"computed","paper":{"title":"Non-criticality of interaction network over system's crises: A percolation analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech"],"primary_cat":"physics.soc-ph","authors_text":"Abbas Ali Saberi, Ali Hosseiny, Amir Hossein Shirazi, Ehsan Amirzadeh, Pourya Toranj Simin","submitted_at":"2017-10-30T23:03:13Z","abstract_excerpt":"Extraction of interaction networks from multi-variate time-series is one of the topics of broad interest in complex systems. Although this method has a wide range of applications, most of the previous analyses have focused on the pairwise relations. Here we establish the potential of such a method to elicit aggregated behavior of the system by making a connection with the concepts from percolation theory. We study the dynamical interaction networks of a financial market extracted from the correlation network of indices, and build a weighted network. In correspondence with the percolation model"},"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":"1710.11267","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2017-10-30T23:03:13Z","cross_cats_sorted":["cond-mat.stat-mech"],"title_canon_sha256":"3504fe45f9a9f2c040a2f0a54163031b06de028ec43a5ac692563c92299ba4bd","abstract_canon_sha256":"0a40a7ff98f09ee693b88a1ab9b61a184d57dc625e9e983f415d48fb22b992a0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:44.406889Z","signature_b64":"voUg7RDnetgYoEpCUdXMm2wxOU53OEzzdAqDJ+TbVLijcwZ/wtK1RxTx1wSVP3JlqTAJN7nbpQb72Jv8DV/LCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c4acd48bf9636ee687221e3b9182c3b1d99dff1a487d8f68a82fc8b05dcbeab1","last_reissued_at":"2026-05-18T00:31:44.406272Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:44.406272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Non-criticality of interaction network over system's crises: A percolation analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech"],"primary_cat":"physics.soc-ph","authors_text":"Abbas Ali Saberi, Ali Hosseiny, Amir Hossein Shirazi, Ehsan Amirzadeh, Pourya Toranj Simin","submitted_at":"2017-10-30T23:03:13Z","abstract_excerpt":"Extraction of interaction networks from multi-variate time-series is one of the topics of broad interest in complex systems. Although this method has a wide range of applications, most of the previous analyses have focused on the pairwise relations. Here we establish the potential of such a method to elicit aggregated behavior of the system by making a connection with the concepts from percolation theory. We study the dynamical interaction networks of a financial market extracted from the correlation network of indices, and build a weighted network. In correspondence with the percolation model"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.11267","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":"1710.11267","created_at":"2026-05-18T00:31:44.406406+00:00"},{"alias_kind":"arxiv_version","alias_value":"1710.11267v1","created_at":"2026-05-18T00:31:44.406406+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.11267","created_at":"2026-05-18T00:31:44.406406+00:00"},{"alias_kind":"pith_short_12","alias_value":"YSWNJC7ZMNXO","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_16","alias_value":"YSWNJC7ZMNXONBZC","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_8","alias_value":"YSWNJC7Z","created_at":"2026-05-18T12:31:56.362134+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/YSWNJC7ZMNXONBZCDY5ZDAWDWH","json":"https://pith.science/pith/YSWNJC7ZMNXONBZCDY5ZDAWDWH.json","graph_json":"https://pith.science/api/pith-number/YSWNJC7ZMNXONBZCDY5ZDAWDWH/graph.json","events_json":"https://pith.science/api/pith-number/YSWNJC7ZMNXONBZCDY5ZDAWDWH/events.json","paper":"https://pith.science/paper/YSWNJC7Z"},"agent_actions":{"view_html":"https://pith.science/pith/YSWNJC7ZMNXONBZCDY5ZDAWDWH","download_json":"https://pith.science/pith/YSWNJC7ZMNXONBZCDY5ZDAWDWH.json","view_paper":"https://pith.science/paper/YSWNJC7Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1710.11267&json=true","fetch_graph":"https://pith.science/api/pith-number/YSWNJC7ZMNXONBZCDY5ZDAWDWH/graph.json","fetch_events":"https://pith.science/api/pith-number/YSWNJC7ZMNXONBZCDY5ZDAWDWH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YSWNJC7ZMNXONBZCDY5ZDAWDWH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YSWNJC7ZMNXONBZCDY5ZDAWDWH/action/storage_attestation","attest_author":"https://pith.science/pith/YSWNJC7ZMNXONBZCDY5ZDAWDWH/action/author_attestation","sign_citation":"https://pith.science/pith/YSWNJC7ZMNXONBZCDY5ZDAWDWH/action/citation_signature","submit_replication":"https://pith.science/pith/YSWNJC7ZMNXONBZCDY5ZDAWDWH/action/replication_record"}},"created_at":"2026-05-18T00:31:44.406406+00:00","updated_at":"2026-05-18T00:31:44.406406+00:00"}