{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:D46Q5MEQYL5KF33EWWFUSQRF3P","short_pith_number":"pith:D46Q5MEQ","canonical_record":{"source":{"id":"1701.06270","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-01-23T05:45:55Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"bfb9255cc2e6310a8b66a188e2b9414f64979f7ddcb92bdb2c4d86fd24560479","abstract_canon_sha256":"00220fb90b0d57021c2225e6cae15ab240356a35dac40df7a8e88fa1306e6aa3"},"schema_version":"1.0"},"canonical_sha256":"1f3d0eb090c2faa2ef64b58b494225dbff24b35761eb20d970619a012c38dc1b","source":{"kind":"arxiv","id":"1701.06270","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.06270","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"arxiv_version","alias_value":"1701.06270v2","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.06270","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"pith_short_12","alias_value":"D46Q5MEQYL5K","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"D46Q5MEQYL5KF33E","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"D46Q5MEQ","created_at":"2026-05-18T12:31:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:D46Q5MEQYL5KF33EWWFUSQRF3P","target":"record","payload":{"canonical_record":{"source":{"id":"1701.06270","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-01-23T05:45:55Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"bfb9255cc2e6310a8b66a188e2b9414f64979f7ddcb92bdb2c4d86fd24560479","abstract_canon_sha256":"00220fb90b0d57021c2225e6cae15ab240356a35dac40df7a8e88fa1306e6aa3"},"schema_version":"1.0"},"canonical_sha256":"1f3d0eb090c2faa2ef64b58b494225dbff24b35761eb20d970619a012c38dc1b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:52:07.801932Z","signature_b64":"NVbkJcL9r8C47oIpvYkLNXqaIokrCe25coM9ZM7s+IF/V2GcNoe3GfRwy+0VElD21oZWcw0xwQ1fZ6q1m5eIBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f3d0eb090c2faa2ef64b58b494225dbff24b35761eb20d970619a012c38dc1b","last_reissued_at":"2026-05-18T00:52:07.801298Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:52:07.801298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1701.06270","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:52:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xoEuWgZ5sOMGCYwOzS30kCFZMqwqlyFtKvbz+2PSaBFVvMO/DcCvZ58IRWfoqOt8AC4a16C9HUy90bQT0/5bCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T07:23:04.204428Z"},"content_sha256":"1d470baf574bac17fb785f6490fa1d0ae7fddaf003c3f5875018894f0a89cfbb","schema_version":"1.0","event_id":"sha256:1d470baf574bac17fb785f6490fa1d0ae7fddaf003c3f5875018894f0a89cfbb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:D46Q5MEQYL5KF33EWWFUSQRF3P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Plexus: An Interactive Visualization Tool for Analyzing Public Emotions from Twitter Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"cs.HC","authors_text":"Chris Shaw, Lyn Bartram, Xiaodong Wu","submitted_at":"2017-01-23T05:45:55Z","abstract_excerpt":"Social media is often used by researchers as an approach to obtaining real-time data on people's activities and thoughts. Twitter, as one of the most popular social networking services nowadays, provides copious information streams on various topics and events. Mining and analyzing Tweets enable us to find public reactions and emotions to activities or objects. This paper presents an interactive visualization tool that identifies and visualizes people's emotions on any two related topics by streaming and processing data from Twitter. The effectiveness of this visualization was evaluated and de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.06270","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:52:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PzUULb+iVAb72hhshMwJMFjlshswpL16oZAYWZpAVnbtAVjJs8MegNcaftL49ISb1Xlqdo7woauTVJ8EEUuZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T07:23:04.205012Z"},"content_sha256":"6339726197f247103a89fdbd0ae72285060a05ec5a8c3c5316907e8e9af2bae7","schema_version":"1.0","event_id":"sha256:6339726197f247103a89fdbd0ae72285060a05ec5a8c3c5316907e8e9af2bae7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D46Q5MEQYL5KF33EWWFUSQRF3P/bundle.json","state_url":"https://pith.science/pith/D46Q5MEQYL5KF33EWWFUSQRF3P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D46Q5MEQYL5KF33EWWFUSQRF3P/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-01T07:23:04Z","links":{"resolver":"https://pith.science/pith/D46Q5MEQYL5KF33EWWFUSQRF3P","bundle":"https://pith.science/pith/D46Q5MEQYL5KF33EWWFUSQRF3P/bundle.json","state":"https://pith.science/pith/D46Q5MEQYL5KF33EWWFUSQRF3P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D46Q5MEQYL5KF33EWWFUSQRF3P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:D46Q5MEQYL5KF33EWWFUSQRF3P","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"00220fb90b0d57021c2225e6cae15ab240356a35dac40df7a8e88fa1306e6aa3","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-01-23T05:45:55Z","title_canon_sha256":"bfb9255cc2e6310a8b66a188e2b9414f64979f7ddcb92bdb2c4d86fd24560479"},"schema_version":"1.0","source":{"id":"1701.06270","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.06270","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"arxiv_version","alias_value":"1701.06270v2","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.06270","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"pith_short_12","alias_value":"D46Q5MEQYL5K","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"D46Q5MEQYL5KF33E","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"D46Q5MEQ","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:6339726197f247103a89fdbd0ae72285060a05ec5a8c3c5316907e8e9af2bae7","target":"graph","created_at":"2026-05-18T00:52:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Social media is often used by researchers as an approach to obtaining real-time data on people's activities and thoughts. Twitter, as one of the most popular social networking services nowadays, provides copious information streams on various topics and events. Mining and analyzing Tweets enable us to find public reactions and emotions to activities or objects. This paper presents an interactive visualization tool that identifies and visualizes people's emotions on any two related topics by streaming and processing data from Twitter. The effectiveness of this visualization was evaluated and de","authors_text":"Chris Shaw, Lyn Bartram, Xiaodong Wu","cross_cats":["cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-01-23T05:45:55Z","title":"Plexus: An Interactive Visualization Tool for Analyzing Public Emotions from Twitter Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.06270","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1d470baf574bac17fb785f6490fa1d0ae7fddaf003c3f5875018894f0a89cfbb","target":"record","created_at":"2026-05-18T00:52:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"00220fb90b0d57021c2225e6cae15ab240356a35dac40df7a8e88fa1306e6aa3","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-01-23T05:45:55Z","title_canon_sha256":"bfb9255cc2e6310a8b66a188e2b9414f64979f7ddcb92bdb2c4d86fd24560479"},"schema_version":"1.0","source":{"id":"1701.06270","kind":"arxiv","version":2}},"canonical_sha256":"1f3d0eb090c2faa2ef64b58b494225dbff24b35761eb20d970619a012c38dc1b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f3d0eb090c2faa2ef64b58b494225dbff24b35761eb20d970619a012c38dc1b","first_computed_at":"2026-05-18T00:52:07.801298Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:52:07.801298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NVbkJcL9r8C47oIpvYkLNXqaIokrCe25coM9ZM7s+IF/V2GcNoe3GfRwy+0VElD21oZWcw0xwQ1fZ6q1m5eIBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:52:07.801932Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.06270","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d470baf574bac17fb785f6490fa1d0ae7fddaf003c3f5875018894f0a89cfbb","sha256:6339726197f247103a89fdbd0ae72285060a05ec5a8c3c5316907e8e9af2bae7"],"state_sha256":"76cb5a19d40428ea7a2870985fae68a48ba06eeae9bd07a6388e25955aca38b7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wHseNET19CweMVLHKy8fRmjOUfoxZFyZosSboI0QADT85v+oIO7W8BibVwKoOuWobHclIXCXOwwIPiDdaG1ODg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T07:23:04.208972Z","bundle_sha256":"0da0f59cd162a45592c6a55675840dbebfe4343795a9ed9c7b7b62887972ce39"}}