{"id":"https://openalex.org/W3012912574","doi":"https://doi.org/10.1145/3366423.3380299","title":"Large-Scale Talent Flow Embedding for Company Competitive Analysis","display_name":"Large-Scale Talent Flow Embedding for Company Competitive Analysis","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3012912574","doi":"https://doi.org/10.1145/3366423.3380299","mag":"3012912574"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380299","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380299","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100350641","display_name":"Le Zhang","orcid":"https://orcid.org/0000-0003-0894-9651"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Zhang","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025292786","display_name":"Tong Xu","orcid":"https://orcid.org/0000-0003-4246-5386"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Xu","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049015446","display_name":"Hengshu Zhu","orcid":"https://orcid.org/0000-0003-4570-643X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":["Baidu Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102883290","display_name":"Chuan Qin","orcid":"https://orcid.org/0000-0002-5354-8630"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Qin","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027967357","display_name":"Qingxin Meng","orcid":"https://orcid.org/0000-0002-5792-3311"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingxin Meng","raw_affiliation_strings":["Rutgers-the State University of New Jersey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers-the State University of New Jersey","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Rutgers-the State University of New Jersey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers-the State University of New Jersey","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.4003,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.99475219,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2354","last_page":"2364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9495000243186951,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9151999950408936,"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/scale","display_name":"Scale (ratio)","score":0.627493679523468},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5127090215682983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4633086025714874},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.46132463216781616},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3280714154243469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16320344805717468},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12971365451812744},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06703817844390869},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0590079128742218}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.627493679523468},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5127090215682983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4633086025714874},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.46132463216781616},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3280714154243469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16320344805717468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12971365451812744},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06703817844390869},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0590079128742218},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3366423.3380299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380299","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380299","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W39539931","https://openalex.org/W1854214752","https://openalex.org/W1888005072","https://openalex.org/W1988931981","https://openalex.org/W2011430131","https://openalex.org/W2019445274","https://openalex.org/W2020658122","https://openalex.org/W2051381393","https://openalex.org/W2053186076","https://openalex.org/W2090891622","https://openalex.org/W2110096996","https://openalex.org/W2125031621","https://openalex.org/W2130789338","https://openalex.org/W2138204974","https://openalex.org/W2152790380","https://openalex.org/W2154851992","https://openalex.org/W2170344111","https://openalex.org/W2170730100","https://openalex.org/W2347728349","https://openalex.org/W2387462954","https://openalex.org/W2415243320","https://openalex.org/W2514580099","https://openalex.org/W2605072144","https://openalex.org/W2605234117","https://openalex.org/W2740296442","https://openalex.org/W2783961799","https://openalex.org/W2788614083","https://openalex.org/W2798673265","https://openalex.org/W2808058516","https://openalex.org/W2808361044","https://openalex.org/W2808867307","https://openalex.org/W2808987817","https://openalex.org/W2809156873","https://openalex.org/W2908027240","https://openalex.org/W2912404939","https://openalex.org/W2946829651","https://openalex.org/W2952718163","https://openalex.org/W2962756421","https://openalex.org/W2963127791","https://openalex.org/W2964041447","https://openalex.org/W3004083821","https://openalex.org/W3098702884","https://openalex.org/W3098931577","https://openalex.org/W3101397996","https://openalex.org/W3104097132","https://openalex.org/W3105705953"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2081900870","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"witnessed":[3],"the":[4,9,41,46,57,78,87,101,114,127,136,163,180,206,227],"growing":[5],"interests":[6],"in":[7,29,100,140,190,212],"investigating":[8],"competition":[10,42,58,224],"among":[11,43,59],"companies.":[12,132],"Existing":[13],"studies":[14],"for":[15,39,91,125],"company":[16,183,215],"competitive":[17,129,216],"analysis":[18,47,217],"generally":[19],"rely":[20],"on":[21,77,199,226,230],"subjective":[22],"survey":[23],"data":[24],"and":[25,85,142,218],"inferential":[26],"analysis.":[27],"Instead,":[28],"this":[30,54,67],"paper,":[31],"we":[32,69,104,134,156],"aim":[33],"to":[34,63,112,146,161],"develop":[35],"a":[36,72,106,158,167,200],"new":[37],"paradigm":[38],"studying":[40],"companies":[44,60,92,150],"through":[45],"of":[48,83,89,95,118,149,182,192,208,214,223],"talent":[49,64,98,116,175,231],"flows.":[50,232],"The":[51],"rationale":[52],"behind":[53],"is":[55],"that":[56],"usually":[61],"leads":[62],"movement.":[65],"Along":[66],"line,":[68],"first":[70],"build":[71],"Talent":[73,107],"Flow":[74,108],"Network":[75],"based":[76,138,225],"large-scale":[79,201],"job":[80,194],"transition":[81],"records":[82],"talents,":[84],"formulate":[86],"concept":[88],"\u201ccompetitiveness\u201d":[90],"with":[93],"consideration":[94],"their":[96,153],"bi-directional":[97,115],"flows":[99],"network.":[102],"Then,":[103],"propose":[105],"Embedding":[109],"(TFE)":[110],"model":[111,139,211],"learn":[113,147],"attractions":[117],"each":[119],"company,":[120],"which":[121,170],"can":[122,171],"be":[123],"leveraged":[124],"measuring":[126],"pairwise":[128],"relationships":[130],"between":[131],"Specifically,":[133],"employ":[135],"random-walk":[137],"original":[141],"transpose":[143],"networks":[144,177,191],"respectively":[145],"representations":[148],"by":[151,178],"preserving":[152],"competitiveness.":[154],"Furthermore,":[155],"design":[157],"multi-task":[159],"strategy":[160],"refine":[162],"learning":[164],"results":[165],"from":[166],"fine-grained":[168],"perspective,":[169],"jointly":[172],"embed":[173],"multiple":[174],"flow":[176],"assuming":[179],"features":[181],"keep":[184],"stable":[185],"but":[186],"take":[187],"different":[188,193],"roles":[189],"positions.":[195],"Finally,":[196],"extensive":[197],"experiments":[198],"real-world":[202],"dataset":[203],"clearly":[204],"validate":[205],"effectiveness":[207],"our":[209],"TFE":[210],"terms":[213],"reveal":[219],"some":[220],"interesting":[221],"rules":[222],"derived":[228],"insights":[229]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}