{"id":"https://openalex.org/W2186499617","doi":"https://doi.org/10.1109/wocc.2015.7346200","title":"Towards an efficient platform for social big data analytics","display_name":"Towards an efficient platform for social big data analytics","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2186499617","doi":"https://doi.org/10.1109/wocc.2015.7346200","mag":"2186499617"},"language":"en","primary_location":{"id":"doi:10.1109/wocc.2015.7346200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2015.7346200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 24th Wireless and Optical Communication Conference (WOCC)","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/A5100677096","display_name":"Jenq\u2010Haur Wang","orcid":"https://orcid.org/0000-0002-6076-7380"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jenq-Haur Wang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101748777","display_name":"Kuan\u2010Ting Chen","orcid":"https://orcid.org/0000-0002-1071-8695"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Ting Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":null,"apc_paid":null,"fwci":0.4115,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58672618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"175","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.996399998664856,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.996399998664856,"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/T11719","display_name":"Data Quality and Management","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.854019045829773},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.8002194762229919},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7732895612716675},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.764356791973114},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6728054881095886},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6308448314666748},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5774299502372742},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.44634106755256653},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.41680338978767395},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3820604085922241},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.30887874960899353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.854019045829773},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.8002194762229919},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7732895612716675},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.764356791973114},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6728054881095886},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6308448314666748},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5774299502372742},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.44634106755256653},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.41680338978767395},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3820604085922241},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.30887874960899353},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wocc.2015.7346200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2015.7346200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 24th Wireless and Optical Communication Conference (WOCC)","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":18,"referenced_works":["https://openalex.org/W110462495","https://openalex.org/W1980902933","https://openalex.org/W1984979859","https://openalex.org/W2006294190","https://openalex.org/W2054476043","https://openalex.org/W2060280513","https://openalex.org/W2071702404","https://openalex.org/W2083541728","https://openalex.org/W2109574129","https://openalex.org/W2110953678","https://openalex.org/W2121810937","https://openalex.org/W2122465391","https://openalex.org/W2124499489","https://openalex.org/W2131975293","https://openalex.org/W2189465200","https://openalex.org/W4251976300","https://openalex.org/W6679815717","https://openalex.org/W6687322159"],"related_works":["https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991","https://openalex.org/W4308507533","https://openalex.org/W2407107767","https://openalex.org/W3191926225","https://openalex.org/W4226266853","https://openalex.org/W4210252074"],"abstract_inverted_index":{"With":[0],"the":[1,43,60,112,125,129,148,153,165],"development":[2],"of":[3,32,52,141,152,170],"social":[4,20,33,63,81],"networks,":[5],"people":[6],"can":[7,57],"easily":[8],"share":[9],"their":[10,14],"feelings":[11],"and":[12,68,90,120,136,138,143,150],"express":[13],"opinions":[15],"on":[16,111,155],"interesting":[17],"topics.":[18],"Thus,":[19],"media":[21],"mining":[22],"is":[23,104,118,161],"becoming":[24],"an":[25],"important":[26],"research":[27],"topic.":[28],"However,":[29],"huge":[30],"volume":[31],"Web":[34],"data":[35,64,67,77,84],"in":[36,45,62,92,167],"various":[37,86,156],"forms":[38],"are":[39,88],"rapidly":[40],"generated":[41],"around":[42],"world":[44],"a":[46,75,93,100],"much":[47],"faster":[48],"speed":[49],"than":[50],"those":[51],"any":[53],"other":[54],"media.":[55,82],"This":[56],"lead":[58],"to":[59,163],"difficulties":[61],"analysis:":[65],"noisy":[66],"efficiency.":[69],"In":[70,124],"this":[71],"paper,":[72],"we":[73,127],"propose":[74],"distributed":[76,94,101],"analytics":[78,102],"platform":[79,130,154],"for":[80,96,122],"First,":[83],"from":[85,106],"sources":[87],"collected":[89],"stored":[91],"index":[95],"efficient":[97],"retrieval.":[98],"Then,":[99],"framework":[103],"built":[105,128],"memory-based":[107],"cluster":[108],"computing":[109],"based":[110],"MapReduce":[113],"paradigm.":[114],"Finally,":[115],"statistical":[116],"analysis":[117],"performed":[119],"integrated":[121],"presentation.":[123],"experiment,":[126],"by":[131],"open":[132],"source":[133],"projects":[134],"Hadoop":[135],"Spark,":[137],"implemented":[139],"combinations":[140],"map":[142],"reduce":[144],"operations.":[145,171],"We":[146],"compared":[147],"efficiency":[149],"scalability":[151],"check-in":[157],"datasets.":[158],"Further":[159],"evaluation":[160],"needed":[162],"verify":[164],"performance":[166],"different":[168],"types":[169]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
