{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:XYHAWTJ2YQV7HYEMJTU37ROV2F","short_pith_number":"pith:XYHAWTJ2","schema_version":"1.0","canonical_sha256":"be0e0b4d3ac42bf3e08c4ce9bfc5d5d1589440a6d328500ce2510d5fcf967c34","source":{"kind":"arxiv","id":"1807.01390","version":1},"attestation_state":"computed","paper":{"title":"Visualizing spreading phenomena on complex networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Christian Schulz","submitted_at":"2018-07-03T22:54:16Z","abstract_excerpt":"Graph drawings are useful tools for exploring the structure and dynamics of data that can be represented by pair-wise relationships among a set of objects. Typical real-world social, biological or technological networks exhibit high complexity resulting from a large number and broad heterogeneity of objects and relationships. Thus, mapping these networks into a low-dimensional space to visualize the dynamics of network-driven processes is a challenging task. Often we want to analyze how a single node is influenced by or is influencing its local network as the source of a spreading process. Her"},"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":"1807.01390","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-07-03T22:54:16Z","cross_cats_sorted":["physics.soc-ph"],"title_canon_sha256":"fa119a7747a16d877607b2361567df6e438fcd56a92b5dad63ebeda8bbb31fe0","abstract_canon_sha256":"09a6ec52e372b4097b87314f1b54308cd89007bdfaeb511902656935feda9656"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:11:29.777945Z","signature_b64":"HuuukGOX0Wv7EPXs97L+Yuve1KHPQ3j6sbUuauZW9SlG54DwCf4JqG9Dsuhr3mZjTW7TugqXe1v1uPqzNlwaBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be0e0b4d3ac42bf3e08c4ce9bfc5d5d1589440a6d328500ce2510d5fcf967c34","last_reissued_at":"2026-05-18T00:11:29.777583Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:11:29.777583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Visualizing spreading phenomena on complex networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Christian Schulz","submitted_at":"2018-07-03T22:54:16Z","abstract_excerpt":"Graph drawings are useful tools for exploring the structure and dynamics of data that can be represented by pair-wise relationships among a set of objects. Typical real-world social, biological or technological networks exhibit high complexity resulting from a large number and broad heterogeneity of objects and relationships. Thus, mapping these networks into a low-dimensional space to visualize the dynamics of network-driven processes is a challenging task. Often we want to analyze how a single node is influenced by or is influencing its local network as the source of a spreading process. Her"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.01390","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":"1807.01390","created_at":"2026-05-18T00:11:29.777643+00:00"},{"alias_kind":"arxiv_version","alias_value":"1807.01390v1","created_at":"2026-05-18T00:11:29.777643+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.01390","created_at":"2026-05-18T00:11:29.777643+00:00"},{"alias_kind":"pith_short_12","alias_value":"XYHAWTJ2YQV7","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_16","alias_value":"XYHAWTJ2YQV7HYEM","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_8","alias_value":"XYHAWTJ2","created_at":"2026-05-18T12:33:04.347982+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/XYHAWTJ2YQV7HYEMJTU37ROV2F","json":"https://pith.science/pith/XYHAWTJ2YQV7HYEMJTU37ROV2F.json","graph_json":"https://pith.science/api/pith-number/XYHAWTJ2YQV7HYEMJTU37ROV2F/graph.json","events_json":"https://pith.science/api/pith-number/XYHAWTJ2YQV7HYEMJTU37ROV2F/events.json","paper":"https://pith.science/paper/XYHAWTJ2"},"agent_actions":{"view_html":"https://pith.science/pith/XYHAWTJ2YQV7HYEMJTU37ROV2F","download_json":"https://pith.science/pith/XYHAWTJ2YQV7HYEMJTU37ROV2F.json","view_paper":"https://pith.science/paper/XYHAWTJ2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1807.01390&json=true","fetch_graph":"https://pith.science/api/pith-number/XYHAWTJ2YQV7HYEMJTU37ROV2F/graph.json","fetch_events":"https://pith.science/api/pith-number/XYHAWTJ2YQV7HYEMJTU37ROV2F/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XYHAWTJ2YQV7HYEMJTU37ROV2F/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XYHAWTJ2YQV7HYEMJTU37ROV2F/action/storage_attestation","attest_author":"https://pith.science/pith/XYHAWTJ2YQV7HYEMJTU37ROV2F/action/author_attestation","sign_citation":"https://pith.science/pith/XYHAWTJ2YQV7HYEMJTU37ROV2F/action/citation_signature","submit_replication":"https://pith.science/pith/XYHAWTJ2YQV7HYEMJTU37ROV2F/action/replication_record"}},"created_at":"2026-05-18T00:11:29.777643+00:00","updated_at":"2026-05-18T00:11:29.777643+00:00"}