{"id":"https://openalex.org/W2934241290","doi":"https://doi.org/10.1109/bigcomp.2019.8679307","title":"Unsupervised Method for Discovering Expert Traders on Social Trading Services","display_name":"Unsupervised Method for Discovering Expert Traders on Social Trading Services","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2934241290","doi":"https://doi.org/10.1109/bigcomp.2019.8679307","mag":"2934241290"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2019.8679307","is_oa":false,"landing_page_url":"http://doi.org/10.1109/bigcomp.2019.8679307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","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/A5028583786","display_name":"Zimao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]},{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zimao Liu","raw_affiliation_strings":["Graduate School of Informatics Kyoto University Kyoto Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics Kyoto University Kyoto Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100612721","display_name":"Qiang Ma","orcid":"https://orcid.org/0000-0003-3430-9244"},"institutions":[{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]},{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Qiang Ma","raw_affiliation_strings":["Graduate School of Informatics Kyoto University Kyoto Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics Kyoto University Kyoto Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028583786"],"corresponding_institution_ids":["https://openalex.org/I22299242","https://openalex.org/I39012071"],"apc_list":null,"apc_paid":null,"fwci":0.835,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75102237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9973000288009644,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9843000173568726,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.6484183073043823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6354504823684692},{"id":"https://openalex.org/keywords/financial-services","display_name":"Financial services","score":0.5879343152046204},{"id":"https://openalex.org/keywords/trading-strategy","display_name":"Trading strategy","score":0.5723341703414917},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5491653680801392},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.521331250667572},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5062898397445679},{"id":"https://openalex.org/keywords/algorithmic-trading","display_name":"Algorithmic trading","score":0.4648047685623169},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41029980778694153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34272557497024536},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.296625018119812},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.245889812707901},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.17522883415222168}],"concepts":[{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.6484183073043823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6354504823684692},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.5879343152046204},{"id":"https://openalex.org/C131562839","wikidata":"https://www.wikidata.org/wiki/Q1574928","display_name":"Trading strategy","level":2,"score":0.5723341703414917},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5491653680801392},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.521331250667572},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5062898397445679},{"id":"https://openalex.org/C78508483","wikidata":"https://www.wikidata.org/wiki/Q139445","display_name":"Algorithmic trading","level":2,"score":0.4648047685623169},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41029980778694153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34272557497024536},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.296625018119812},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.245889812707901},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.17522883415222168},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2019.8679307","is_oa":false,"landing_page_url":"http://doi.org/10.1109/bigcomp.2019.8679307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2024453793","https://openalex.org/W2101196063","https://openalex.org/W2106572203","https://openalex.org/W2127152800","https://openalex.org/W2127492100","https://openalex.org/W2153410042","https://openalex.org/W2153580489","https://openalex.org/W2249278837","https://openalex.org/W2789386659","https://openalex.org/W3122139608","https://openalex.org/W3122262218","https://openalex.org/W3125429822","https://openalex.org/W6679822816"],"related_works":["https://openalex.org/W2963625095","https://openalex.org/W3200179079","https://openalex.org/W2963507914","https://openalex.org/W2792234060","https://openalex.org/W1600923755","https://openalex.org/W2725541287","https://openalex.org/W2523594540","https://openalex.org/W2963749793","https://openalex.org/W4281906850","https://openalex.org/W2934241290"],"abstract_inverted_index":{"Social":[0],"trading":[1,20],"services":[2,21],"are":[3,11],"now":[4],"becoming":[5],"increasingly":[6],"popular":[7],"among":[8],"people":[9],"who":[10,39],"interested":[12],"in":[13,66],"investments.":[14],"A":[15],"notable":[16],"feature":[17],"of":[18,30,81],"social":[19],"is":[22,45],"that":[23],"we":[24,52],"can":[25],"simply":[26],"\u201ccopy\u201d":[27],"the":[28,78],"trades":[29],"experts":[31],"to":[32],"achieve":[33,40],"profits.":[34],"However,":[35],"identifying":[36,58],"expert":[37,59],"traders":[38,60],"exceptional":[41],"and":[42],"consistent":[43],"returns":[44],"a":[46,73],"major":[47],"challenge.":[48],"In":[49],"this":[50],"study,":[51],"propose":[53],"an":[54],"unsupervised":[55],"method":[56],"for":[57],"by":[61],"applying":[62],"portfolio":[63],"theory":[64],"developed":[65],"financial":[67],"engineering.":[68],"Experimental":[69],"results":[70],"obtained":[71],"with":[72],"real":[74],"data":[75],"set":[76],"demonstrate":[77],"superior":[79],"performance":[80],"our":[82],"method.":[83]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}