{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:I24ROJRBXAVZO4RPYSH7EBR7SE","short_pith_number":"pith:I24ROJRB","canonical_record":{"source":{"id":"1806.08895","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-06-23T02:38:26Z","cross_cats_sorted":[],"title_canon_sha256":"c7e10d7e12af72daf8aba20aa2dce566bfc241091dbf2f1b7f2844bfb22acd48","abstract_canon_sha256":"86aad9e7816034f1fb4005dee2abfaf9e202d64d7da423daf4e5acfdd10aed18"},"schema_version":"1.0"},"canonical_sha256":"46b9172621b82b97722fc48ff2063f910842e5912d40a69ae6ea87c0c1daea79","source":{"kind":"arxiv","id":"1806.08895","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.08895","created_at":"2026-05-18T00:12:30Z"},{"alias_kind":"arxiv_version","alias_value":"1806.08895v1","created_at":"2026-05-18T00:12:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.08895","created_at":"2026-05-18T00:12:30Z"},{"alias_kind":"pith_short_12","alias_value":"I24ROJRBXAVZ","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"I24ROJRBXAVZO4RP","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"I24ROJRB","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:I24ROJRBXAVZO4RPYSH7EBR7SE","target":"record","payload":{"canonical_record":{"source":{"id":"1806.08895","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-06-23T02:38:26Z","cross_cats_sorted":[],"title_canon_sha256":"c7e10d7e12af72daf8aba20aa2dce566bfc241091dbf2f1b7f2844bfb22acd48","abstract_canon_sha256":"86aad9e7816034f1fb4005dee2abfaf9e202d64d7da423daf4e5acfdd10aed18"},"schema_version":"1.0"},"canonical_sha256":"46b9172621b82b97722fc48ff2063f910842e5912d40a69ae6ea87c0c1daea79","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:12:30.978745Z","signature_b64":"FYD++Y2AcC893wC2UWPrffQv61WYB0SKDE/FCjbn/7PZUl2Ydf+RuZF3F6oZdDz6CdLbayiLx7z5O8mnNkuuBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46b9172621b82b97722fc48ff2063f910842e5912d40a69ae6ea87c0c1daea79","last_reissued_at":"2026-05-18T00:12:30.978054Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:12:30.978054Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.08895","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:12:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/jW0REtC29NqlLKG8TJO791ppj3Ha2/wam3QhiWQn9a4Dfd+VfDNENHN8hDnj53DPNEwlhwCrUhiKDoH5DMzDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T07:03:00.320849Z"},"content_sha256":"3befcfcdc2d7ae1e88dd7fbbb5cac8111af56040388cbd4cd765760a6f9c4f31","schema_version":"1.0","event_id":"sha256:3befcfcdc2d7ae1e88dd7fbbb5cac8111af56040388cbd4cd765760a6f9c4f31"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:I24ROJRBXAVZO4RPYSH7EBR7SE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MRAttractor: Detecting Communities from Large-Scale Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Kyumin Lee, Nguyen Vo, Thanh Tran","submitted_at":"2018-06-23T02:38:26Z","abstract_excerpt":"Detecting groups of users, who have similar opinions, interests, or social behavior, has become an important task for many applications. A recent study showed that dynamic distance based Attractor, a community detection algorithm, outperformed other community detection algorithms such as Spectral clustering, Louvain and Infomap, achieving higher Normalized Mutual Information (NMI) and Adjusted Rand Index (ARI). However, Attractor often takes long time to detect communities, requiring many iterations. To overcome the drawback and handle large-scale graphs, in this paper we propose MRAttractor, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.08895","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:12:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YNgwCveP06O5zS0CI0FWJ9/tb4h/sKfg+uOlqjKbiumff8qD9njUQriIEnyRtlXYVXg+Wlc7/PyXUjCbglKaDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T07:03:00.321180Z"},"content_sha256":"cc677ed11d5481a19f0f956bc5d6b0d52fd9ae51319f4fadf8f6ab4ad3f07c77","schema_version":"1.0","event_id":"sha256:cc677ed11d5481a19f0f956bc5d6b0d52fd9ae51319f4fadf8f6ab4ad3f07c77"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I24ROJRBXAVZO4RPYSH7EBR7SE/bundle.json","state_url":"https://pith.science/pith/I24ROJRBXAVZO4RPYSH7EBR7SE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I24ROJRBXAVZO4RPYSH7EBR7SE/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":"2026-06-30T07:03:00Z","links":{"resolver":"https://pith.science/pith/I24ROJRBXAVZO4RPYSH7EBR7SE","bundle":"https://pith.science/pith/I24ROJRBXAVZO4RPYSH7EBR7SE/bundle.json","state":"https://pith.science/pith/I24ROJRBXAVZO4RPYSH7EBR7SE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I24ROJRBXAVZO4RPYSH7EBR7SE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:I24ROJRBXAVZO4RPYSH7EBR7SE","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":"86aad9e7816034f1fb4005dee2abfaf9e202d64d7da423daf4e5acfdd10aed18","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-06-23T02:38:26Z","title_canon_sha256":"c7e10d7e12af72daf8aba20aa2dce566bfc241091dbf2f1b7f2844bfb22acd48"},"schema_version":"1.0","source":{"id":"1806.08895","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.08895","created_at":"2026-05-18T00:12:30Z"},{"alias_kind":"arxiv_version","alias_value":"1806.08895v1","created_at":"2026-05-18T00:12:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.08895","created_at":"2026-05-18T00:12:30Z"},{"alias_kind":"pith_short_12","alias_value":"I24ROJRBXAVZ","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"I24ROJRBXAVZO4RP","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"I24ROJRB","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:cc677ed11d5481a19f0f956bc5d6b0d52fd9ae51319f4fadf8f6ab4ad3f07c77","target":"graph","created_at":"2026-05-18T00:12:30Z","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":"Detecting groups of users, who have similar opinions, interests, or social behavior, has become an important task for many applications. A recent study showed that dynamic distance based Attractor, a community detection algorithm, outperformed other community detection algorithms such as Spectral clustering, Louvain and Infomap, achieving higher Normalized Mutual Information (NMI) and Adjusted Rand Index (ARI). However, Attractor often takes long time to detect communities, requiring many iterations. To overcome the drawback and handle large-scale graphs, in this paper we propose MRAttractor, ","authors_text":"Kyumin Lee, Nguyen Vo, Thanh Tran","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-06-23T02:38:26Z","title":"MRAttractor: Detecting Communities from Large-Scale Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.08895","kind":"arxiv","version":1},"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":"sha256:3befcfcdc2d7ae1e88dd7fbbb5cac8111af56040388cbd4cd765760a6f9c4f31","target":"record","created_at":"2026-05-18T00:12:30Z","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":"86aad9e7816034f1fb4005dee2abfaf9e202d64d7da423daf4e5acfdd10aed18","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-06-23T02:38:26Z","title_canon_sha256":"c7e10d7e12af72daf8aba20aa2dce566bfc241091dbf2f1b7f2844bfb22acd48"},"schema_version":"1.0","source":{"id":"1806.08895","kind":"arxiv","version":1}},"canonical_sha256":"46b9172621b82b97722fc48ff2063f910842e5912d40a69ae6ea87c0c1daea79","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46b9172621b82b97722fc48ff2063f910842e5912d40a69ae6ea87c0c1daea79","first_computed_at":"2026-05-18T00:12:30.978054Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:12:30.978054Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FYD++Y2AcC893wC2UWPrffQv61WYB0SKDE/FCjbn/7PZUl2Ydf+RuZF3F6oZdDz6CdLbayiLx7z5O8mnNkuuBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:12:30.978745Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.08895","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3befcfcdc2d7ae1e88dd7fbbb5cac8111af56040388cbd4cd765760a6f9c4f31","sha256:cc677ed11d5481a19f0f956bc5d6b0d52fd9ae51319f4fadf8f6ab4ad3f07c77"],"state_sha256":"6ccd32336b22d978203462e1c002c883cd17a93e6f416c0c9be1523e074cb759"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"THxsbWSQA5a8Wf2hl/slJ50kUjOVdochLNhym4CEi4ONtgCCbDyEHlIYrtIiRmrIS3QSqJSQfNvzqOpXH4DRBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T07:03:00.323081Z","bundle_sha256":"968d6a887aa21315ddc1372427cc643bc9feaa60720a93a84a11c550dc827c57"}}