{"id":"https://openalex.org/W2135672542","doi":"https://doi.org/10.1007/s13278-011-0045-5","title":"Mining dynamic social networks from public news articles for company value prediction","display_name":"Mining dynamic social networks from public news articles for company value prediction","publication_year":2012,"publication_date":"2012-01-02","ids":{"openalex":"https://openalex.org/W2135672542","doi":"https://doi.org/10.1007/s13278-011-0045-5","mag":"2135672542"},"language":"en","primary_location":{"id":"doi:10.1007/s13278-011-0045-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-011-0045-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-011-0045-5.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"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-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Social Network Analysis and Mining","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13278-011-0045-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108195296","display_name":"Yingzi Jin","orcid":"https://orcid.org/0009-0009-0813-4859"},"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":"Yingzi Jin","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111941084","display_name":"Ching-Yung Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ching-Yung Lin","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074059447","display_name":"Yutaka Matsuo","orcid":"https://orcid.org/0000-0002-2070-4393"},"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":false,"raw_author_name":"Yutaka Matsuo","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084175174","display_name":"Mitsuru Ishizuka","orcid":"https://orcid.org/0000-0003-3241-1480"},"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":false,"raw_author_name":"Mitsuru Ishizuka","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108195296"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":3.638,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.9379201,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2","issue":"3","first_page":"217","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9955000281333923,"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":0.9955000281333923,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9455999732017517,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.6209814548492432},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.6067244410514832},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.5029951930046082},{"id":"https://openalex.org/keywords/friendship","display_name":"Friendship","score":0.4681195318698883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4599030017852783},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.44877445697784424},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.41444239020347595},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3559001684188843},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.34561842679977417},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3086416721343994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19358617067337036},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.15350750088691711},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.12135839462280273},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.10748714208602905},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1068047285079956}],"concepts":[{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.6209814548492432},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.6067244410514832},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.5029951930046082},{"id":"https://openalex.org/C2778736484","wikidata":"https://www.wikidata.org/wiki/Q491","display_name":"Friendship","level":2,"score":0.4681195318698883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4599030017852783},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.44877445697784424},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.41444239020347595},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3559001684188843},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.34561842679977417},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3086416721343994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19358617067337036},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.15350750088691711},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.12135839462280273},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.10748714208602905},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1068047285079956},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13278-011-0045-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-011-0045-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-011-0045-5.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"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-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Social Network Analysis and Mining","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s13278-011-0045-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-011-0045-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-011-0045-5.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"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-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Social Network Analysis and Mining","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2135672542.pdf","grobid_xml":"https://content.openalex.org/works/W2135672542.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W19555723","https://openalex.org/W167115076","https://openalex.org/W865921456","https://openalex.org/W950821216","https://openalex.org/W1493047750","https://openalex.org/W1507285216","https://openalex.org/W1554338108","https://openalex.org/W1577199596","https://openalex.org/W1854214752","https://openalex.org/W1966860954","https://openalex.org/W1971788485","https://openalex.org/W1971794865","https://openalex.org/W1999216122","https://openalex.org/W2000425276","https://openalex.org/W2022566785","https://openalex.org/W2030035054","https://openalex.org/W2037933327","https://openalex.org/W2040884411","https://openalex.org/W2059859368","https://openalex.org/W2061901927","https://openalex.org/W2063042394","https://openalex.org/W2092885781","https://openalex.org/W2103235295","https://openalex.org/W2108862644","https://openalex.org/W2109042199","https://openalex.org/W2138621811","https://openalex.org/W2151613517","https://openalex.org/W2152256919","https://openalex.org/W2153080265","https://openalex.org/W2155048531","https://openalex.org/W2159892382","https://openalex.org/W2165186823","https://openalex.org/W2432978112","https://openalex.org/W2512154860","https://openalex.org/W3122563224","https://openalex.org/W4232932184","https://openalex.org/W4244084155"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W165915117","https://openalex.org/W2326995835","https://openalex.org/W2743859443","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W4379260874","https://openalex.org/W4390923437","https://openalex.org/W2772061786"],"abstract_inverted_index":{"Dynamic":[0],"networks":[1,96,106,155],"are":[2,80,163],"studied":[3],"by":[4],"sociologists":[5],"to":[6,45,66,91,142],"understand":[7,30],"network":[8,34,71,79,161],"evolution,":[9],"belief":[10],"formation,":[11,13],"friendship":[12],"etc.":[14],"Companies":[15],"make":[16,57],"and":[17,56,73,88,110,122,131,159],"receive":[18],"different":[19,25],"impacts":[20],"from":[21,97],"other":[22],"companies":[23],"in":[24],"periods.":[26],"If":[27],"one":[28,41],"can":[29],"what":[31,160],"types":[32],"of":[33,50,70,76,115],"changes":[35],"affect":[36,156],"a":[37,89,128,144],"company\u2019s":[38],"value,":[39],"then":[40],"would":[42],"be":[43],"able":[44],"predict":[46],"the":[47,51,74,112,116,140],"future":[48],"value":[49],"company,":[52],"grasp":[53],"industry":[54],"innovations,":[55],"business":[58],"more":[59],"successful.":[60],"However,":[61],"it":[62],"is":[63,139],"often":[64],"difficult":[65],"collect":[67],"continuous":[68],"records":[69],"changes,":[72],"models":[75],"mining":[77],"longitudinal":[78,135,147],"complicated.":[81],"In":[82],"this":[83],"study,":[84],"we":[85,118,126],"developed":[86],"algorithms":[87],"system":[90],"infer":[92],"large-scale":[93],"evolutionary":[94],"company":[95,120,149,157],"public":[98],"news":[99],"during":[100],"1981\u20132009.":[101],"Then,":[102],"based":[103],"on":[104,111],"how":[105,154],"change":[107],"over":[108],"time,":[109],"financial":[113],"information":[114],"companies,":[117],"predicted":[119],"profit":[121],"revenue":[123],"growth.":[124],"Herein,":[125],"propose":[127],"feature":[129],"extraction":[130],"selection":[132],"algorithm":[133],"for":[134],"networks.":[136],"This":[137],"paper":[138],"first":[141],"describe":[143],"study":[145],"examining":[146],"network-mining-based":[148],"performance":[150,158],"analysis.":[151],"We":[152],"measured":[153],"features":[162],"important.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}