{"id":"https://openalex.org/W6888779965","doi":"https://doi.org/10.2312/eurova.20211096","title":"Rumble Flow++ Interactive Visual Analysis of Dota2 Encounters","display_name":"Rumble Flow++ Interactive Visual Analysis of Dota2 Encounters","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W6888779965","doi":"https://doi.org/10.2312/eurova.20211096"},"language":"en","primary_location":{"id":"doi:10.2312/eurova.20211096","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20211096","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/eurova.20211096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Weixelbaum, Wilma","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Weixelbaum, Wilma","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Matkovic, Kresimir","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matkovic, Kresimir","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26582388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.4424999952316284,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.4424999952316284,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.24539999663829803,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11197","display_name":"Digital Games and Media","score":0.1388999968767166,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rumble","display_name":"Rumble","score":0.9154999852180481},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.5633000135421753},{"id":"https://openalex.org/keywords/exploratory-analysis","display_name":"Exploratory analysis","score":0.5455999970436096},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5421000123023987},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5109000205993652}],"concepts":[{"id":"https://openalex.org/C2779390954","wikidata":"https://www.wikidata.org/wiki/Q17084008","display_name":"Rumble","level":2,"score":0.9154999852180481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6841999888420105},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.5633000135421753},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.5455999970436096},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5421000123023987},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5109000205993652},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.453000009059906},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.45010000467300415},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3912999927997589},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3116999864578247},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2833000123500824},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.26899999380111694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/eurova.20211096","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20211096","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.2312/eurova.20211096","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurova.20211096","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"score":0.42519915103912354,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,71],"the":[1,4,15,41,59,109,112,116,124],"last":[2],"decade,":[3],"popularity":[5],"of":[6,29,61,103,111,118,126],"ESports":[7],"has":[8],"grown":[9],"rapidly.":[10],"The":[11,129],"financial":[12],"leader":[13],"in":[14,86,136],"tournament":[16],"scene":[17],"is":[18],"Dota2,":[19],"a":[20,78,137,148],"complex":[21],"and":[22,27,52,63,98,122,153],"strategic":[23],"multiplayer":[24],"game.":[25],"Analysis":[26],"exploration":[28,97],"game":[30],"data":[31,38],"could":[32],"lead":[33],"to":[34],"better":[35,155],"outcomes.":[36],"Available":[37],"resources":[39],"include":[40],"combat":[42],"log,":[43],"which":[44],"logs":[45],"every":[46],"event":[47],"at":[48,54,58,100,108,115,123],"an":[49,87,158],"atomic":[50,159],"level":[51,110,117,125],"excels":[53],"providing":[55,91],"great":[56],"detail":[57,146],"expense":[60],"readability,":[62],"concise":[64],"third-party":[65],"summaries":[66],"that":[67,83],"provide":[68],"little":[69],"detail.":[70],"this":[72],"paper,":[73],"we":[74],"introduce":[75],"Rumble":[76,94,141],"Flow++,":[77],"web-based":[79],"exploratory":[80],"analysis":[81,99,107],"application":[82],"provides":[84,143],"details":[85],"easy-to-understand":[88],"manner":[89],"while":[90],"meaningful":[92],"aggregations.":[93],"Flow++":[95,142],"supports":[96,106],"different":[101],"levels":[102,135],"granularity.":[104],"It":[105],"entire":[113],"match,":[114],"individual":[119,127],"team":[120],"fights,":[121],"heroes.":[128],"user":[130],"can":[131],"easily":[132],"switch":[133],"between":[134],"fully":[138],"interactive":[139],"environment.":[140],"much":[144,154],"more":[145],"than":[147,157],"summary":[149],"visualization":[150],"typically":[151],"uses,":[152],"readability":[156],"log":[160],"file.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}