{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:5SVLRTZGTZJ366CO7QPL7JRZ2L","short_pith_number":"pith:5SVLRTZG","schema_version":"1.0","canonical_sha256":"ecaab8cf269e53bf784efc1ebfa639d2d94de80679f51dd67c8f56419bba9318","source":{"kind":"arxiv","id":"1710.11507","version":1},"attestation_state":"computed","paper":{"title":"Large-scale study of social network structure and team performance in a multiplayer online game","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.SI","authors_text":"Antti Ukkonen, Juho Hamari","submitted_at":"2017-10-31T14:29:39Z","abstract_excerpt":"A question of interest in both theory and practice is if and how familiarity between members of a team, expressed in terms of social network structure, relates to the success of the team in a given task. In this paper we revisit this important question in a novel manner by employing game outcome statistics from Dota 2, a popular team-based multiplayer online game, combined with network data from Steam Community, a social networking service for gamers. We conduct a large-scale analysis of 4168 teams to study how network density, and the minimum and maximum degree of the within-team social netwo"},"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":"1710.11507","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-10-31T14:29:39Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"dd3fabce0fcdb26256c49b6a961775065bfdd169ba06c9fb11a7017ba8cabc46","abstract_canon_sha256":"86a317a1d2af75da9430f3e28854624c9a194cd03d31051b147efeefc047faf7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:37.113632Z","signature_b64":"/rFoQCEHgI0enzx+W2pcnDISvNms8CAwolDshrtANywLisjwZZHfAszRwtPL9OSJ5JHb5LrK44m87Qxx5ICYBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ecaab8cf269e53bf784efc1ebfa639d2d94de80679f51dd67c8f56419bba9318","last_reissued_at":"2026-05-18T00:31:37.113015Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:37.113015Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Large-scale study of social network structure and team performance in a multiplayer online game","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.SI","authors_text":"Antti Ukkonen, Juho Hamari","submitted_at":"2017-10-31T14:29:39Z","abstract_excerpt":"A question of interest in both theory and practice is if and how familiarity between members of a team, expressed in terms of social network structure, relates to the success of the team in a given task. In this paper we revisit this important question in a novel manner by employing game outcome statistics from Dota 2, a popular team-based multiplayer online game, combined with network data from Steam Community, a social networking service for gamers. We conduct a large-scale analysis of 4168 teams to study how network density, and the minimum and maximum degree of the within-team social netwo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.11507","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":"1710.11507","created_at":"2026-05-18T00:31:37.113108+00:00"},{"alias_kind":"arxiv_version","alias_value":"1710.11507v1","created_at":"2026-05-18T00:31:37.113108+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.11507","created_at":"2026-05-18T00:31:37.113108+00:00"},{"alias_kind":"pith_short_12","alias_value":"5SVLRTZGTZJ3","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_16","alias_value":"5SVLRTZGTZJ366CO","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_8","alias_value":"5SVLRTZG","created_at":"2026-05-18T12:31:00.734936+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/5SVLRTZGTZJ366CO7QPL7JRZ2L","json":"https://pith.science/pith/5SVLRTZGTZJ366CO7QPL7JRZ2L.json","graph_json":"https://pith.science/api/pith-number/5SVLRTZGTZJ366CO7QPL7JRZ2L/graph.json","events_json":"https://pith.science/api/pith-number/5SVLRTZGTZJ366CO7QPL7JRZ2L/events.json","paper":"https://pith.science/paper/5SVLRTZG"},"agent_actions":{"view_html":"https://pith.science/pith/5SVLRTZGTZJ366CO7QPL7JRZ2L","download_json":"https://pith.science/pith/5SVLRTZGTZJ366CO7QPL7JRZ2L.json","view_paper":"https://pith.science/paper/5SVLRTZG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1710.11507&json=true","fetch_graph":"https://pith.science/api/pith-number/5SVLRTZGTZJ366CO7QPL7JRZ2L/graph.json","fetch_events":"https://pith.science/api/pith-number/5SVLRTZGTZJ366CO7QPL7JRZ2L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5SVLRTZGTZJ366CO7QPL7JRZ2L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5SVLRTZGTZJ366CO7QPL7JRZ2L/action/storage_attestation","attest_author":"https://pith.science/pith/5SVLRTZGTZJ366CO7QPL7JRZ2L/action/author_attestation","sign_citation":"https://pith.science/pith/5SVLRTZGTZJ366CO7QPL7JRZ2L/action/citation_signature","submit_replication":"https://pith.science/pith/5SVLRTZGTZJ366CO7QPL7JRZ2L/action/replication_record"}},"created_at":"2026-05-18T00:31:37.113108+00:00","updated_at":"2026-05-18T00:31:37.113108+00:00"}