{"id":"https://openalex.org/W2554204519","doi":"https://doi.org/10.1109/ijcnn.2016.7727472","title":"Crowdsourcing of network data","display_name":"Crowdsourcing of network data","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2554204519","doi":"https://doi.org/10.1109/ijcnn.2016.7727472","mag":"2554204519"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5024549341","display_name":"Ding Wang","orcid":"https://orcid.org/0000-0002-7149-5712"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ding Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012653790","display_name":"Prakash Mandayam Comar","orcid":"https://orcid.org/0000-0003-0817-7938"},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Prakash Mandayam Comar","raw_affiliation_strings":["Amazon"],"affiliations":[{"raw_affiliation_string":"Amazon","institution_ids":["https://openalex.org/I4210089985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071546444","display_name":"Pang\u2010Ning Tan","orcid":"https://orcid.org/0000-0003-3205-0339"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pang-Ning Tan","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024549341"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.5526,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81406426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"26","issue":null,"first_page":"2204","last_page":"2211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9975000023841858,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9921000003814697,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.9301026463508606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8407204151153564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6184561848640442},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6181915402412415},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6090884804725647},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5763195753097534},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5046461820602417},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4583958387374878},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44506075978279114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43947741389274597},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43285173177719116},{"id":"https://openalex.org/keywords/data-transformation","display_name":"Data transformation","score":0.4315556585788727},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4302184283733368},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41840818524360657},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35226011276245117},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.11527803540229797},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08751532435417175}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9301026463508606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8407204151153564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6184561848640442},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6181915402412415},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6090884804725647},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5763195753097534},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5046461820602417},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4583958387374878},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44506075978279114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43947741389274597},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43285173177719116},{"id":"https://openalex.org/C150670458","wikidata":"https://www.wikidata.org/wiki/Q4272815","display_name":"Data transformation","level":3,"score":0.4315556585788727},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4302184283733368},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41840818524360657},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35226011276245117},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.11527803540229797},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08751532435417175},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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":23,"referenced_works":["https://openalex.org/W156959604","https://openalex.org/W623233975","https://openalex.org/W1587559447","https://openalex.org/W1928278792","https://openalex.org/W1982725109","https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2100664256","https://openalex.org/W2118045473","https://openalex.org/W2120708938","https://openalex.org/W2138781105","https://openalex.org/W2155291008","https://openalex.org/W2165698076","https://openalex.org/W2166311264","https://openalex.org/W2172268343","https://openalex.org/W2187456046","https://openalex.org/W2188373600","https://openalex.org/W2189166599","https://openalex.org/W6606258704","https://openalex.org/W6677741084","https://openalex.org/W6687082280","https://openalex.org/W6687132033","https://openalex.org/W6768433217"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114","https://openalex.org/W4286908577"],"abstract_inverted_index":{"A":[0],"key":[1],"requirement":[2],"for":[3,43,58,66,129],"supervised":[4],"learning":[5,80,127],"is":[6,56],"the":[7,34,83,94,106,110,114,148],"availability":[8],"of":[9,12,36,109,150],"sufficient":[10],"amount":[11],"labeled":[13,23,41],"data":[14,24,60,85],"to":[15,39,53,81,117,122,146],"build":[16],"an":[17,124],"accurate":[18],"prediction":[19],"model.":[20],"However,":[21],"obtaining":[22],"can":[25,97],"be":[26,64,98],"manually":[27],"tedious":[28],"and":[29,61,112,133],"expensive.":[30],"This":[31],"paper":[32],"examines":[33],"use":[35,113],"crowdsourcing":[37,55],"technology":[38],"acquire":[40],"examples":[42],"classifying":[44],"network":[45,59,84,132],"data.":[46],"Unfortunately,":[47],"creating":[48],"human":[49],"intelligence":[50],"tasks":[51],"(HITs)":[52],"enable":[54],"cumbersome":[57],"may":[62],"even":[63,100],"prohibitive":[65],"privacy":[67],"reasons.":[68],"To":[69],"overcome":[70],"this":[71],"limitation,":[72],"we":[73],"present":[74],"a":[75,87],"novel":[76],"framework":[77],"called":[78],"surrogate":[79,126],"transform":[82],"into":[86],"new":[88],"representation":[89],"(i.e.,":[90],"images)":[91],"so":[92],"that":[93],"labeling":[95],"task":[96],"completed":[99],"by":[101],"non-domain":[102],"experts.":[103],"We":[104,137],"analyze":[105],"reconstruction":[107],"error":[108],"transformation":[111],"theoretical":[115],"insights":[116],"provide":[118],"guidance":[119],"on":[120,153],"how":[121],"develop":[123],"effective":[125],"approach":[128,152],"any":[130],"given":[131],"source":[134],"image":[135],"corpus.":[136],"also":[138],"performed":[139],"extensive":[140],"experiments":[141],"using":[142],"Amazon":[143],"Mechanical":[144],"Turk":[145],"demonstrate":[147],"efficacy":[149],"our":[151],"node":[154],"classification":[155],"problems.":[156]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
