{"id":"https://openalex.org/W4315491122","doi":"https://doi.org/10.1145/3579096","title":"Multi-Stage Machine Learning Model for Hierarchical Tie Valence Prediction","display_name":"Multi-Stage Machine Learning Model for Hierarchical Tie Valence Prediction","publication_year":2023,"publication_date":"2023-01-10","ids":{"openalex":"https://openalex.org/W4315491122","doi":"https://doi.org/10.1145/3579096"},"language":"en","primary_location":{"id":"doi:10.1145/3579096","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3579096","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3579096","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3579096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101509283","display_name":"Karandeep Singh","orcid":"https://orcid.org/0000-0001-6030-1663"},"institutions":[{"id":"https://openalex.org/I4210104335","display_name":"Institute for Basic Science","ror":"https://ror.org/00y0zf565","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210104335"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Karandeep Singh","raw_affiliation_strings":["Data Science Group, Institute for Basic Science, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Data Science Group, Institute for Basic Science, Daejeon, South Korea","institution_ids":["https://openalex.org/I4210104335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085149492","display_name":"Seungeon Lee","orcid":"https://orcid.org/0000-0002-9756-0068"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210104335","display_name":"Institute for Basic Science","ror":"https://ror.org/00y0zf565","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210104335"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungeon Lee","raw_affiliation_strings":["Data Science Group, Institute for Basic Science, and School of Computing, KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Data Science Group, Institute for Basic Science, and School of Computing, KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I4210104335","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020643109","display_name":"Giuseppe Labianca","orcid":"https://orcid.org/0000-0002-9412-8421"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Giuseppe (Joe) Labianca","raw_affiliation_strings":["Department of Management, UMass Amherst, and Department of Management, University of Exeter, Exeter, UK"],"affiliations":[{"raw_affiliation_string":"Department of Management, UMass Amherst, and Department of Management, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066796829","display_name":"Jesse Fagan","orcid":"https://orcid.org/0000-0003-1153-9442"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jesse Michael Fagan","raw_affiliation_strings":["Department of Management, University of Exeter, Exeter, UK"],"affiliations":[{"raw_affiliation_string":"Department of Management, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061810530","display_name":"Meeyoung Cha","orcid":"https://orcid.org/0000-0003-4085-9648"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210104335","display_name":"Institute for Basic Science","ror":"https://ror.org/00y0zf565","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210104335"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Meeyoung Cha","raw_affiliation_strings":["Data Science Group, Institute for Basic Science, and School of Computing, KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Data Science Group, Institute for Basic Science, and School of Computing, KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I4210104335","https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101509283"],"corresponding_institution_ids":["https://openalex.org/I4210104335"],"apc_list":null,"apc_paid":null,"fwci":0.6533,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63339356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"17","issue":"6","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9599999785423279,"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/conversation","display_name":"Conversation","score":0.7158008813858032},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.6963750720024109},{"id":"https://openalex.org/keywords/interpersonal-ties","display_name":"Interpersonal ties","score":0.5292788147926331},{"id":"https://openalex.org/keywords/sadness","display_name":"Sadness","score":0.5101035237312317},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5022151470184326},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.4553748071193695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4397945702075958},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.43168455362319946},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.43074166774749756},{"id":"https://openalex.org/keywords/survey-data-collection","display_name":"Survey data collection","score":0.42929524183273315},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.4153841733932495},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4118131995201111},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4057883322238922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3935609459877014},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.34996914863586426},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.12819412350654602}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.7158008813858032},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.6963750720024109},{"id":"https://openalex.org/C142189719","wikidata":"https://www.wikidata.org/wiki/Q1276633","display_name":"Interpersonal ties","level":2,"score":0.5292788147926331},{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.5101035237312317},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5022151470184326},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.4553748071193695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4397945702075958},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.43168455362319946},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.43074166774749756},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.42929524183273315},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.4153841733932495},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4118131995201111},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4057883322238922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3935609459877014},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.34996914863586426},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.12819412350654602},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3579096","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3579096","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3579096","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/29795831","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"},{"id":"pmh:oai:ore.exeter.ac.uk:10871/133234","is_oa":true,"landing_page_url":"http://hdl.handle.net/10871/133234","pdf_url":null,"source":{"id":"https://openalex.org/S4306401998","display_name":"Open Research Exeter (University of Exeter)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I23923803","host_organization_name":"University of Exeter","host_organization_lineage":["https://openalex.org/I23923803"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1145/3579096","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3579096","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3579096","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4037701428","display_name":null,"funder_award_id":"RS-2022-00165347","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G4833854091","display_name":null,"funder_award_id":"RS-2022-00165347","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8947125434","display_name":null,"funder_award_id":"IBS-R029-C2","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4315491122.pdf","grobid_xml":"https://content.openalex.org/works/W4315491122.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W587115132","https://openalex.org/W1967343101","https://openalex.org/W1979104937","https://openalex.org/W2009925124","https://openalex.org/W2057798304","https://openalex.org/W2086213217","https://openalex.org/W2114051435","https://openalex.org/W2116341502","https://openalex.org/W2137180616","https://openalex.org/W2156894402","https://openalex.org/W2241870169","https://openalex.org/W2295598076","https://openalex.org/W2340502990","https://openalex.org/W2593668264","https://openalex.org/W2602753196","https://openalex.org/W2605200191","https://openalex.org/W2732931597","https://openalex.org/W2739341114","https://openalex.org/W2789032889","https://openalex.org/W2887092413","https://openalex.org/W2911980085","https://openalex.org/W2912083425","https://openalex.org/W2951533109","https://openalex.org/W2963428935","https://openalex.org/W2963683654","https://openalex.org/W2973140148","https://openalex.org/W2977308500","https://openalex.org/W2984261731","https://openalex.org/W2999615587","https://openalex.org/W3034339767","https://openalex.org/W3034878914","https://openalex.org/W3083881625","https://openalex.org/W3095014764","https://openalex.org/W3099565317","https://openalex.org/W3111973486","https://openalex.org/W3124672709","https://openalex.org/W3161419939","https://openalex.org/W3173252188","https://openalex.org/W3189431285","https://openalex.org/W4211245372"],"related_works":["https://openalex.org/W4365519294","https://openalex.org/W3031187173","https://openalex.org/W3135436127","https://openalex.org/W2805647211","https://openalex.org/W2100930849","https://openalex.org/W2557139663","https://openalex.org/W3179181153","https://openalex.org/W2073249509","https://openalex.org/W2481378124","https://openalex.org/W1980267738"],"abstract_inverted_index":{"Individuals":[0],"interacting":[1],"in":[2,85,151],"organizational":[3,192],"settings":[4],"involving":[5],"varying":[6],"levels":[7],"of":[8,16,47,51,59,113,173],"formal":[9],"hierarchy":[10],"naturally":[11],"form":[12],"a":[13,67,86,148],"complex":[14],"network":[15,77],"social":[17,195],"ties":[18,29,61,84,158,161],"having":[19],"different":[20],"tie":[21,118],"valences":[22],"(e.g.,":[23],"positive":[24,81,135,155,160],"and":[25,36,62,74,82,99,141,156,170,178,188,193],"negative":[26,83,157],"connections).":[27],"Social":[28],"critically":[30],"affect":[31],"employees\u2019":[32],"satisfaction,":[33],"behaviors,":[34],"cognition,":[35],"outcomes\u2014yet":[37],"identifying":[38],"them":[39],"solely":[40],"through":[41],"survey":[42],"data":[43,103,115],"is":[44],"challenging":[45],"because":[46],"the":[48,55,111,117],"large":[49],"size":[50],"some":[52],"organizations":[53],"or":[54],"often":[56],"hidden":[57],"nature":[58],"these":[60],"their":[63],"valences.":[64],"We":[65,145],"present":[66],"novel":[68],"deep":[69],"learning":[70],"model":[71,91],"encompassing":[72],"NLP":[73],"graph":[75],"neural":[76],"techniques":[78],"that":[79,110],"identifies":[80],"hierarchical":[87],"network.":[88],"The":[89],"proposed":[90],"uses":[92],"human":[93],"resource":[94],"attributes":[95,127],"as":[96,104],"node":[97],"information":[98],"web-logged":[100],"work":[101],"conversation":[102,114,152],"link":[105],"information.":[106],"Our":[107],"findings":[108,181],"suggest":[109],"presence":[112],"improves":[116],"valence":[119],"classification":[120],"by":[121],"8.91%":[122],"compared":[123],"to":[124,176],"employing":[125],"user":[126],"alone.":[128],"This":[129],"gain":[130],"came":[131],"from":[132],"accurately":[133],"distinguishing":[134],"ties,":[136],"particularly":[137],"for":[138,154,185],"male,":[139],"non-minority,":[140],"older":[142],"employee":[143],"groups.":[144],"also":[146],"show":[147],"substantial":[149],"difference":[150],"patterns":[153],"with":[159,164],"being":[162],"associated":[163],"more":[165],"messages":[166],"exchanged":[167],"on":[168],"weekends,":[169],"lower":[171],"use":[172],"words":[174],"related":[175],"anger":[177],"sadness.":[179],"These":[180],"have":[182],"broad":[183],"implications":[184],"facilitating":[186],"collaboration":[187],"managing":[189],"conflict":[190],"within":[191],"other":[194],"networks.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
