{"id":"https://openalex.org/W2007190979","doi":"https://doi.org/10.1145/2600057.2602832","title":"Towards a better measure of business proximity","display_name":"Towards a better measure of business proximity","publication_year":2014,"publication_date":"2014-05-30","ids":{"openalex":"https://openalex.org/W2007190979","doi":"https://doi.org/10.1145/2600057.2602832","mag":"2007190979"},"language":"en","primary_location":{"id":"doi:10.1145/2600057.2602832","doi":"https://doi.org/10.1145/2600057.2602832","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2600057.2602832","pdf_url":null,"source":{"id":"https://openalex.org/S4363608973","display_name":"ACM Conference on Economics and Computation (EC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifteenth ACM conference on Economics and computation","raw_type":"proceedings-article"},"volume":null,"type":"conference-abstract","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/A5101989381","display_name":"Zhan Shi","orcid":"https://orcid.org/0000-0002-2815-252X","observed_orcids":["https://orcid.org/0000-0002-2815-252X"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhan Shi","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072864189","display_name":"Gene Moo Lee","orcid":"https://orcid.org/0000-0003-0657-6898","observed_orcids":["https://orcid.org/0000-0003-0657-6898"]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gene Moo Lee","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041944945","display_name":"Andrew B. Whinston","orcid":"https://orcid.org/0000-0002-8580-4088","observed_orcids":["https://orcid.org/0000-0002-8580-4088","https://orcid.org/0000-0002-7371-8991"]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew B. Whinston","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"565","last_page":"565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.28760001063346863,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.28760001063346863,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T13402","display_name":"Business Strategy and Innovation","score":0.18860000371932983,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and 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/T10019","display_name":"Corporate Finance and Governance","score":0.07819999754428864,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/topic-modeling","display_name":"topic modeling","score":0.9010000228881836},{"id":"https://openalex.org/keywords/mergers-and-acquisitions","display_name":"mergers and acquisitions","score":0.7799999713897705},{"id":"https://openalex.org/keywords/high-tech-industry","display_name":"high-tech industry","score":0.949999988079071},{"id":"https://openalex.org/keywords/exponential-random-graph-models","display_name":"exponential random graph models","score":0.9330000281333923},{"id":"https://openalex.org/keywords/network-analysis","display_name":"network analysis","score":0.5189999938011169}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6776254773139954},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6677285432815552},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6558788418769836},{"id":"https://openalex.org/C30549945","wikidata":"https://www.wikidata.org/wiki/Q5421526","display_name":"Exponential random graph models","level":4,"score":0.5463212132453918},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5284504890441895},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5062112212181091},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4675136208534241},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4397055506706238},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4292246997356415},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3856557011604309},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.36525148153305054},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27586621046066284},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2718784213066101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24958795309066772},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.19935822486877441},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1209213137626648},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10792607069015503},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10645383596420288},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2600057.2602832","doi":"https://doi.org/10.1145/2600057.2602832","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2600057.2602832","pdf_url":null,"source":{"id":"https://openalex.org/S4363608973","display_name":"ACM Conference on Economics and Computation (EC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifteenth ACM conference on Economics and computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.5699999928474426,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4400050599","https://openalex.org/W7052857337","https://openalex.org/W2707594846","https://openalex.org/W7110241648","https://openalex.org/W2258016213","https://openalex.org/W3185337761","https://openalex.org/W2788382433","https://openalex.org/W2102969092","https://openalex.org/W3045598667","https://openalex.org/W7130382777"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,14],"propose":[4],"a":[5,34,77,106,121],"new":[6],"measure":[7,38],"of":[8,29,61,80,100,102,123,138],"firms'":[9,21,56],"dyadic":[10],"business":[11,36,113],"proximity.":[12],"Specifically,":[13],"analyze":[15],"the":[16,24,41,46,59,86,93,98,135,139],"unstructured":[17],"texts":[18],"that":[19],"describe":[20],"businesses":[22],"using":[23,76],"natural":[25],"language":[26],"processing":[27],"technique":[28],"topic":[30],"modeling,":[31],"and":[32,64,83,115],"develop":[33],"novel":[35],"proximity":[37,114],"based":[39],"on":[40,54],"output.":[42],"When":[43],"compared":[44],"with":[45],"existent":[47],"methods,":[48],"our":[49,69,95],"approach":[50],"provides":[51],"finer":[52],"granularity":[53],"quantifying":[55],"similarity":[57],"in":[58,85,105],"spaces":[60],"product,":[62],"market,":[63],"technology.":[65],"We":[66,118],"then":[67],"show":[68],"measure's":[70],"effectiveness":[71],"through":[72],"an":[73],"empirical":[74],"analysis":[75,126],"unique":[78],"dataset":[79],"recent":[81],"mergers":[82],"acquisitions":[84],"U.S.":[87],"high":[88],"technology":[89],"industry.":[90],"Building":[91],"upon":[92],"literature,":[94],"model":[96],"relates":[97],"likelihood":[99],"matching":[101],"two":[103],"firms":[104],"merger":[107],"or":[108],"acquisition":[109],"transaction":[110],"to":[111,133],"their":[112],"other":[116],"characteristics.":[117],"particularly":[119],"employ":[120],"class":[122],"statistical":[124],"network":[125],"methods":[127],"called":[128],"exponential":[129],"random":[130],"graph":[131],"models":[132],"accommodate":[134],"relational":[136],"nature":[137],"data.":[140]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
