{"id":"https://openalex.org/W2989015248","doi":"https://doi.org/10.1186/s40537-020-00295-9","title":"Prediction of ESG compliance using a heterogeneous information network","display_name":"Prediction of ESG compliance using a heterogeneous information network","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W2989015248","doi":"https://doi.org/10.1186/s40537-020-00295-9","mag":"2989015248"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-020-00295-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00295-9","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00295-9","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00295-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ryohei Hisano","orcid":"https://orcid.org/0000-0002-4452-0302"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryohei Hisano","raw_affiliation_strings":["Social ICT Research Center, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4452-0302","affiliations":[{"raw_affiliation_string":"Social ICT Research Center, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Didier Sornette","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Didier Sornette","raw_affiliation_strings":["Department of Management, Technology and Economics, ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management, Technology and Economics, ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":null,"display_name":"Takayuki Mizuno","orcid":null},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Mizuno","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":2.6736,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89912397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.09489999711513519,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.09489999711513519,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T14143","display_name":"Economic and Technological Innovation","score":0.044599998742341995,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.03400000184774399,"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/construct","display_name":"Construct (python library)","score":0.625},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.6053000092506409},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4771000146865845},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47099998593330383},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4302000105381012},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4185999929904938},{"id":"https://openalex.org/keywords/corporate-governance","display_name":"Corporate governance","score":0.4074000120162964},{"id":"https://openalex.org/keywords/sanctions","display_name":"Sanctions","score":0.38190001249313354},{"id":"https://openalex.org/keywords/best-practice","display_name":"Best practice","score":0.35899999737739563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.642799973487854},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.625},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.6053000092506409},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4771000146865845},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47099998593330383},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4302000105381012},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40799999237060547},{"id":"https://openalex.org/C39389867","wikidata":"https://www.wikidata.org/wiki/Q380767","display_name":"Corporate governance","level":2,"score":0.4074000120162964},{"id":"https://openalex.org/C2778069335","wikidata":"https://www.wikidata.org/wiki/Q32098","display_name":"Sanctions","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C165609540","wikidata":"https://www.wikidata.org/wiki/Q1172486","display_name":"Data breach","level":2,"score":0.3555000126361847},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3391000032424927},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3384000062942505},{"id":"https://openalex.org/C103144560","wikidata":"https://www.wikidata.org/wiki/Q2670999","display_name":"Investment strategy","level":3,"score":0.33469998836517334},{"id":"https://openalex.org/C2776760741","wikidata":"https://www.wikidata.org/wiki/Q25325235","display_name":"Financial networks","level":4,"score":0.30169999599456787},{"id":"https://openalex.org/C189188589","wikidata":"https://www.wikidata.org/wiki/Q14864997","display_name":"Investment management","level":3,"score":0.29350000619888306},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.28450000286102295},{"id":"https://openalex.org/C121017731","wikidata":"https://www.wikidata.org/wiki/Q11661","display_name":"Information technology","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C189922023","wikidata":"https://www.wikidata.org/wiki/Q17056348","display_name":"Information governance","level":4,"score":0.2793999910354614},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.260699987411499},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.2563000023365021},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s40537-020-00295-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00295-9","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00295-9","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1811.12166","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.12166","pdf_url":"https://arxiv.org/pdf/1811.12166","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:b3e75a19cd434157b4d77395edc8e416","is_oa":true,"landing_page_url":"https://doaj.org/article/b3e75a19cd434157b4d77395edc8e416","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 7, Iss 1, Pp 1-19 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-020-00295-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00295-9","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00295-9","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1750370590","display_name":null,"funder_award_id":"16H05904","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320322832","display_name":"University of Tokyo","ror":"https://ror.org/057zh3y96"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989015248.pdf","grobid_xml":"https://content.openalex.org/works/W2989015248.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W1480376833","https://openalex.org/W1529533208","https://openalex.org/W1756422141","https://openalex.org/W1976526581","https://openalex.org/W2016753842","https://openalex.org/W2041200948","https://openalex.org/W2075010670","https://openalex.org/W2107569009","https://openalex.org/W2302212895","https://openalex.org/W2393319904","https://openalex.org/W2513244730","https://openalex.org/W2734806099","https://openalex.org/W2759136286","https://openalex.org/W2786693279","https://openalex.org/W2792839191","https://openalex.org/W2964108915","https://openalex.org/W2964184494","https://openalex.org/W3124865354","https://openalex.org/W4237302002"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Negative":[1],"screening":[2],"is":[3,107,175,214],"one":[4],"method":[5],"to":[6,44,63,154,161,164,194,233,242],"avoid":[7],"interactions":[8],"with":[9,66,198,202],"inappropriate":[10,21],"entities.":[11],"For":[12],"example,":[13],"financial":[14],"institutions":[15],"keep":[16,45],"investment":[17,34,84,166,181],"exclusion":[18,35,85,167,182],"lists":[19,36,59,86],"of":[20,83,185],"firms":[22,156,189,245],"that":[23,60,68,98,151,157,210],"have":[24],"environmental,":[25],"social,":[26],"and":[27,114,125,135,141,203,254],"governance":[28],"(ESG)":[29],"problems.":[30],"They":[31],"create":[32],"their":[33,46,144],"by":[37,137],"gathering":[38],"information":[39,96,102,221,226,237],"from":[40,191],"various":[41],"news":[42,180],"sources":[43],"portfolios":[47],"profitable":[48],"as":[49,51],"well":[50],"green.":[52],"International":[53],"organizations":[54],"also":[55],"maintain":[56],"smart":[57],"sanctions":[58],"are":[61,69,158],"used":[62],"prohibit":[64],"trade":[65],"entities":[67],"involved":[70],"in":[71,87,120,129,169,223,239],"illegal":[72],"activities.":[73],"In":[74],"the":[75,81,88,100,170,178,199,206,211,219,224,235],"present":[76],"paper,":[77],"we":[78,147,208],"focus":[79],"on":[80,246],"prediction":[82],"finance":[89],"domain.":[90],"We":[91],"construct":[92],"a":[93,149,247],"vast":[94,133,220],"heterogeneous":[95,225],"network":[97],"covers":[99],"necessary":[101],"surrounding":[103],"each":[104],"firm,":[105],"which":[106,118],"assembled":[108],"using":[109,177,205,218],"seven":[110],"professionally":[111],"curated":[112],"datasets":[113,134],"two":[115],"open":[116],"datasets,":[117],"results":[119],"approximately":[121],"50":[122],"million":[123,127],"nodes":[124],"400":[126],"edges":[128],"total.":[130],"Exploiting":[131],"these":[132],"motivated":[136],"how":[138],"professional":[139],"investigators":[140],"journalists":[142],"undertake":[143],"daily":[145],"investigations,":[146],"propose":[148],"model":[150],"can":[152],"learn":[153],"predict":[155],"more":[159,186,255],"likely":[160],"be":[162],"added":[163],"an":[165],"list":[168,183],"near":[171],"future.":[172],"Our":[173],"approach":[174],"tested":[176],"negative":[179],"data":[184,241],"than":[187],"35,000":[188],"worldwide":[190],"January":[192],"2012":[193],"May":[195],"2018.":[196],"Comparing":[197],"state-of-the-art":[200],"methods":[201],"without":[204],"network,":[207],"show":[209],"predictive":[212],"accuracy":[213],"substantially":[215],"improved":[216],"when":[217],"stored":[222],"network.":[227],"This":[228],"work":[229],"suggests":[230],"new":[231],"ways":[232],"consolidate":[234],"diffuse":[236],"contained":[238],"big":[240],"monitor":[243],"dominant":[244],"global":[248],"scale":[249],"for":[250],"better":[251],"risk":[252],"management":[253],"socially":[256],"responsible":[257],"investment.":[258]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-11-22T00:00:00"}
