{"id":"https://openalex.org/W2802659538","doi":"https://doi.org/10.1109/tetc.2018.2829772","title":"Distributed Relationship Mining over Big Scholar Data","display_name":"Distributed Relationship Mining over Big Scholar Data","publication_year":2018,"publication_date":"2018-04-24","ids":{"openalex":"https://openalex.org/W2802659538","doi":"https://doi.org/10.1109/tetc.2018.2829772","mag":"2802659538"},"language":"en","primary_location":{"id":"doi:10.1109/tetc.2018.2829772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2018.2829772","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","raw_type":"journal-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/A5100726923","display_name":"Da Zhang","orcid":"https://orcid.org/0000-0003-3321-1835"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL"],"raw_orcid":"https://orcid.org/0000-0003-3321-1835","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038550961","display_name":"Mansur R. Kabuka","orcid":"https://orcid.org/0000-0003-2516-7942"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mansur R. Kabuka","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145608581"],"apc_list":null,"apc_paid":null,"fwci":0.8054,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80189624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"1","first_page":"354","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9986000061035156,"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/T11106","display_name":"Data Management and Algorithms","score":0.9977999925613403,"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":0.8715629577636719},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7056859731674194},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6793575882911682},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.5932429432868958},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5912635326385498},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5094209313392639},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4584166407585144},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4543024003505707},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4442600607872009},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.42569032311439514},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3599264323711395},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3452301025390625},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.18535229563713074},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11756527423858643}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8715629577636719},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7056859731674194},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6793575882911682},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.5932429432868958},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5912635326385498},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5094209313392639},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4584166407585144},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4543024003505707},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4442600607872009},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.42569032311439514},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3599264323711395},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3452301025390625},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.18535229563713074},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11756527423858643},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/tetc.2018.2829772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2018.2829772","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W950821216","https://openalex.org/W1485347932","https://openalex.org/W1599861493","https://openalex.org/W1855646358","https://openalex.org/W1975563293","https://openalex.org/W2022166150","https://openalex.org/W2029249040","https://openalex.org/W2030792561","https://openalex.org/W2031237011","https://openalex.org/W2039303449","https://openalex.org/W2057037070","https://openalex.org/W2078082072","https://openalex.org/W2098704351","https://openalex.org/W2117831564","https://openalex.org/W2127899432","https://openalex.org/W2141117572","https://openalex.org/W2144461918","https://openalex.org/W2150470619","https://openalex.org/W2152407760","https://openalex.org/W2153704625","https://openalex.org/W2156838832","https://openalex.org/W2161984370","https://openalex.org/W2164998314","https://openalex.org/W2189465200","https://openalex.org/W2222040190","https://openalex.org/W2250601658","https://openalex.org/W2295128594","https://openalex.org/W2354939339","https://openalex.org/W2570427954","https://openalex.org/W2604863852","https://openalex.org/W2612459735","https://openalex.org/W2921811239","https://openalex.org/W2950870032","https://openalex.org/W2962756421","https://openalex.org/W2963919031","https://openalex.org/W3103786587","https://openalex.org/W4233503515","https://openalex.org/W4238044281","https://openalex.org/W4249823756","https://openalex.org/W4312512934","https://openalex.org/W6635818143","https://openalex.org/W6638944595","https://openalex.org/W6664834017","https://openalex.org/W6675047084","https://openalex.org/W6681092714","https://openalex.org/W6687322159"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991"],"abstract_inverted_index":{"In":[0],"this":[1,113],"paper,":[2],"we":[3,119,150],"propose":[4,120],"a":[5,15,121],"system":[6],"infrastructure":[7,37,52],"to":[8,107,129],"construct":[9],"the":[10,20,24,28,33,41,54,58,61,82,131,141],"big":[11],"scholar":[12],"data":[13,55,62],"as":[14],"large":[16],"knowledge":[17],"graph,":[18],"discover":[19],"meta":[21,125],"paths":[22],"between":[23,30,85,134],"entities":[25,31],"and":[26,43,77,80,105,123,143],"calculate":[27],"relevancy":[29],"in":[32],"graph.":[34],"The":[35,51],"core":[36],"is":[38],"established":[39],"on":[40,110],"secured":[42],"private":[44],"Amazon":[45,155],"Elastic":[46],"Compute":[47],"Cloud(Amazon":[48],"EC2)":[49],"platform.":[50,157],"maintains":[53],"evenly":[56],"across":[57],"repositories,":[59],"processes":[60],"parallel":[63],"by":[64,74],"utilizing":[65,75],"open":[66],"source":[67],"Spark":[68],"framework,":[69],"manages":[70],"computing":[71],"resources":[72],"optimally":[73],"YARN":[76],"Hadoop":[78],"HDFS,":[79],"discovers":[81],"relationship":[83,93,116,133],"distributedly":[84],"different":[86,135],"types":[87,136],"of":[88,112,137,147],"entities.":[89,138],"We":[90],"incorporate":[91],"four":[92],"discovery":[94],"tasks":[95],"including":[96],"citation":[97],"recommendation,":[98],"potential":[99,132],"collaborator":[100],"discovery,":[101],"similar":[102],"venue":[103,108],"measurement":[104],"paper":[106],"recommendation":[109],"top":[111],"infrastructure.":[114],"For":[115],"mining":[117],"tasks,":[118],"mixed":[122],"weighted":[124],"path":[126],"(MWMP)":[127],"method":[128],"explore":[130],"To":[139],"verify":[140],"accuracy":[142],"measure":[144],"parallelization":[145],"speedup":[146],"our":[148],"algorithm,":[149],"set":[151],"up":[152],"clusters":[153],"through":[154],"EC2":[156]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}