{"id":"https://openalex.org/W4234349970","doi":"https://doi.org/10.1109/wsc.2014.7019946","title":"Handling big data on agent-based modeling of Online Social Networks with MapReduce","display_name":"Handling big data on agent-based modeling of Online Social Networks with MapReduce","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W4234349970","doi":"https://doi.org/10.1109/wsc.2014.7019946"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2014.7019946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2014.7019946","pdf_url":null,"source":{"id":"https://openalex.org/S4363608779","display_name":"Proceedings of the Winter Simulation Conference 2014","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Winter Simulation Conference 2014","raw_type":"proceedings-article"},"type":"article","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/A5026576007","display_name":"Ma\u00edra Gatti de Bayser","orcid":"https://orcid.org/0000-0002-6858-7093"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Maira A. de C. Gatti","raw_affiliation_strings":["IBM Research - Brazil, S\u00e3o Paulo, BRAZIL"],"affiliations":[{"raw_affiliation_string":"IBM Research - Brazil, S\u00e3o Paulo, BRAZIL","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103020338","display_name":"Marcos R. Vieira","orcid":"https://orcid.org/0000-0003-3502-8014"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos R. Vieira","raw_affiliation_strings":["IBM Research - Brazil, S\u00e3o Paulo, BRAZIL"],"affiliations":[{"raw_affiliation_string":"IBM Research - Brazil, S\u00e3o Paulo, BRAZIL","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062257487","display_name":"Joao Paulo F. de Melo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joao Paulo F. de Melo","raw_affiliation_strings":["IBM Research - Brazil, S\u00e3o Paulo, BRAZIL"],"affiliations":[{"raw_affiliation_string":"IBM Research - Brazil, S\u00e3o Paulo, BRAZIL","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041613681","display_name":"Paulo Cavalin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Rodrigo Cavalin","raw_affiliation_strings":["IBM Research - Brazil, S\u00e3o Paulo, BRAZIL"],"affiliations":[{"raw_affiliation_string":"IBM Research - Brazil, S\u00e3o Paulo, BRAZIL","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019048636","display_name":"Cl\u00e1udio Pinhanez","orcid":"https://orcid.org/0000-0001-6715-1290"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Claudio Santos Pinhanez","raw_affiliation_strings":["IBM Research - Brazil, S\u00e3o Paulo, BRAZIL"],"affiliations":[{"raw_affiliation_string":"IBM Research - Brazil, S\u00e3o Paulo, BRAZIL","institution_ids":["https://openalex.org/I4210113516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026576007"],"corresponding_institution_ids":["https://openalex.org/I4210113516"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37974684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"xiv","issue":null,"first_page":"851","last_page":"862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.998199999332428,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8696731925010681},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7281030416488647},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5331315994262695},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.503452479839325},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.49610695242881775},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4767102599143982},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45942190289497375},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.41194576025009155},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3368949890136719},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26298803091049194},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.25418901443481445},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24391457438468933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8696731925010681},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7281030416488647},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5331315994262695},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.503452479839325},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49610695242881775},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4767102599143982},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45942190289497375},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.41194576025009155},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3368949890136719},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26298803091049194},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.25418901443481445},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24391457438468933},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2014.7019946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2014.7019946","pdf_url":null,"source":{"id":"https://openalex.org/S4363608779","display_name":"Proceedings of the Winter Simulation Conference 2014","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Winter Simulation Conference 2014","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W25419021","https://openalex.org/W1964869462","https://openalex.org/W1997020216","https://openalex.org/W2021314079","https://openalex.org/W2027629826","https://openalex.org/W2061820396","https://openalex.org/W2068172675","https://openalex.org/W2071954596","https://openalex.org/W2104599107","https://openalex.org/W2105535951","https://openalex.org/W2107559689","https://openalex.org/W2113671562","https://openalex.org/W2114303224","https://openalex.org/W2141249441","https://openalex.org/W2148734427","https://openalex.org/W2157579446","https://openalex.org/W2169090121","https://openalex.org/W2169724035","https://openalex.org/W2173213060","https://openalex.org/W3137281031","https://openalex.org/W4231372403"],"related_works":["https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417","https://openalex.org/W2218513093","https://openalex.org/W4200136508"],"abstract_inverted_index":{"There":[0],"is":[1,29,81,139],"an":[2,77,84],"increasing":[3],"interest":[4],"on":[5,145],"using":[6,140],"Online":[7],"Social":[8],"Networks":[9],"(OSNs)":[10],"in":[11,27,69,130],"a":[12,23,88,117,122],"wide":[13],"range":[14],"of":[15,25,105],"applications.":[16],"Two":[17],"interesting":[18],"problems":[19],"that":[20],"have":[21],"received":[22],"lot":[24],"attention":[26],"OSNs":[28],"how":[30,39,43,133],"to":[31,35,44,64,75,82,93,98,120,124],"provide":[32],"effective":[33,136],"ways":[34],"understand":[36],"and":[37,42,135],"predict":[38],"users":[40],"behave,":[41],"build":[45,76,121],"accurate":[46,78],"models":[47],"for":[48],"specific":[49],"domains":[50],"(e.g.,":[51],"marketing":[52],"campaigns).":[53],"In":[54],"this":[55,114],"context,":[56],"stochastic":[57],"multi-agent":[58],"based":[59],"simulation":[60],"can":[61],"be":[62,94],"employed":[63],"reproduce":[65],"the":[66,72,102,111,141,146],"behavior":[67,79],"observed":[68],"OSNs.":[70],"Nevertheless,":[71],"first":[73],"step":[74],"model":[80],"create":[83],"agent-based":[85],"system.":[86],"Hence,":[87],"modeler":[89,123],"needs":[90],"not":[91],"only":[92],"effective,":[95],"but":[96],"also":[97],"scale":[99],"up":[100],"given":[101],"huge":[103],"volume":[104],"streaming":[106],"graph":[107],"data.":[108,127],"To":[109],"tackle":[110],"above":[112],"challenges,":[113],"paper":[115],"proposes":[116],"MapReduce-based":[118],"method":[119],"handle":[125],"big":[126],"We":[128],"demonstrate":[129],"our":[131,137],"experiments":[132],"efficient":[134],"proposal":[138],"Obama's":[142],"Twitter":[143],"network":[144],"2012":[147],"U.S.":[148],"presidential":[149],"election.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}