{"id":"https://openalex.org/W1990896205","doi":"https://doi.org/10.1145/2568088.2576096","title":"Extreme big data processing in large-scale graph analytics and billion-scale social simulation","display_name":"Extreme big data processing in large-scale graph analytics and billion-scale social simulation","publication_year":2014,"publication_date":"2014-03-22","ids":{"openalex":"https://openalex.org/W1990896205","doi":"https://doi.org/10.1145/2568088.2576096","mag":"1990896205"},"language":"en","primary_location":{"id":"doi:10.1145/2568088.2576096","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2568088.2576096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM/SPEC international conference on Performance engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011886931","display_name":"Toyotaro Suzumura","orcid":"https://orcid.org/0000-0001-6412-8386"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP","US"],"is_corresponding":true,"raw_author_name":"Toyotaro Suzumura","raw_affiliation_strings":["IBM Research, Tokyo, Japan","IBM Research - Tokyo, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Tokyo, Japan","institution_ids":["https://openalex.org/I4210145865"]},{"raw_affiliation_string":"IBM Research - Tokyo, Japan#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011886931"],"corresponding_institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210145865"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9997000098228455,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.811194658279419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7281004786491394},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6650201678276062},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6242431998252869},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6046180129051208},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5403938293457031},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45115742087364197},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.41007739305496216},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26183566451072693},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21297535300254822}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.811194658279419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7281004786491394},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6650201678276062},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6242431998252869},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6046180129051208},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5403938293457031},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45115742087364197},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.41007739305496216},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26183566451072693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21297535300254822},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2568088.2576096","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2568088.2576096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM/SPEC international conference on Performance engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W615489132","https://openalex.org/W1985742807","https://openalex.org/W1990443649","https://openalex.org/W2018481625","https://openalex.org/W2037434835","https://openalex.org/W2051248062","https://openalex.org/W2056356667","https://openalex.org/W2059776157","https://openalex.org/W2071249960","https://openalex.org/W2093739557","https://openalex.org/W2127653767","https://openalex.org/W2155189726","https://openalex.org/W6673918736"],"related_works":["https://openalex.org/W3158763334","https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W4245701730","https://openalex.org/W2511794504","https://openalex.org/W2911648135","https://openalex.org/W3092201768","https://openalex.org/W2886451445","https://openalex.org/W3108449883","https://openalex.org/W2551093110"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"some":[3],"of":[4],"the":[5],"example":[6],"applications":[7],"handling":[8],"extremely":[9],"big":[10],"data":[11],"with":[12],"supercomputers":[13],"such":[14],"as":[15],"large-scale":[16,20],"network":[17],"analysis,":[18],"X10-based":[19],"graph":[21],"analytics":[22],"library,":[23],"Graph500":[24],"benchmark,":[25],"and":[26],"billion-scale":[27],"social":[28],"simulation.":[29]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
