{"id":"https://openalex.org/W2079629570","doi":"https://doi.org/10.1145/1998076.1998122","title":"Resolving author name homonymy to improve resolution of structures in co-author networks","display_name":"Resolving author name homonymy to improve resolution of structures in co-author networks","publication_year":2011,"publication_date":"2011-06-13","ids":{"openalex":"https://openalex.org/W2079629570","doi":"https://doi.org/10.1145/1998076.1998122","mag":"2079629570"},"language":"en","primary_location":{"id":"doi:10.1145/1998076.1998122","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1998076.1998122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries","raw_type":"proceedings-article"},"type":"article","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/A5012802996","display_name":"Theresa Velden","orcid":"https://orcid.org/0000-0001-8994-0776"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theresa A. Velden","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064413029","display_name":"Asif\u2010ul Haque","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Asif-ul Haque","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108037649","display_name":"Carl Lagoze","orcid":"https://orcid.org/0000-0002-5281-5215"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl Lagoze","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.3501,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.96485741,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9869999885559082,"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"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.775104820728302},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.668404221534729},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6682227849960327},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6008145213127136},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5996401309967041},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5982314944267273},{"id":"https://openalex.org/keywords/mesoscopic-physics","display_name":"Mesoscopic physics","score":0.5806386470794678},{"id":"https://openalex.org/keywords/network-structure","display_name":"Network structure","score":0.5146020650863647},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4313509464263916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42247554659843445},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37551233172416687},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3511000871658325},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3034789562225342},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1318366825580597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.775104820728302},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.668404221534729},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6682227849960327},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6008145213127136},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5996401309967041},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5982314944267273},{"id":"https://openalex.org/C177731217","wikidata":"https://www.wikidata.org/wiki/Q2622244","display_name":"Mesoscopic physics","level":2,"score":0.5806386470794678},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.5146020650863647},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4313509464263916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42247554659843445},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37551233172416687},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3511000871658325},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3034789562225342},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1318366825580597},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1998076.1998122","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1998076.1998122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W278081246","https://openalex.org/W1490467549","https://openalex.org/W1535807333","https://openalex.org/W1536860849","https://openalex.org/W1766412966","https://openalex.org/W1972837706","https://openalex.org/W2007172042","https://openalex.org/W2014821466","https://openalex.org/W2026499502","https://openalex.org/W2039599657","https://openalex.org/W2051995667","https://openalex.org/W2056826404","https://openalex.org/W2065858398","https://openalex.org/W2118975245","https://openalex.org/W2132957436","https://openalex.org/W2148019918","https://openalex.org/W2162337786","https://openalex.org/W2168346701","https://openalex.org/W3101701824","https://openalex.org/W4387589449"],"related_works":["https://openalex.org/W5012203","https://openalex.org/W2790535609","https://openalex.org/W1995574656","https://openalex.org/W97316223","https://openalex.org/W4240653033","https://openalex.org/W4256412014","https://openalex.org/W2534474591","https://openalex.org/W2366448304","https://openalex.org/W2322473156","https://openalex.org/W4246041294"],"abstract_inverted_index":{"We":[0,24,92],"investigate":[1],"how":[2],"author":[3,67],"name":[4],"homonymy":[5,129],"distorts":[6],"clustered":[7],"large-scale":[8],"co-author":[9,80],"networks,":[10],"and":[11,17,52,130],"present":[12],"a":[13,45,64,112,121],"simple,":[14],"effective,":[15],"scalable":[16],"generalizable":[18],"algorithm":[19,30],"to":[20,31,124,131],"ameliorate":[21],"such":[22],"distortions.":[23],"evaluate":[25],"the":[26,29,33,60,79,87,90,103,107,115,133,138],"performance":[27],"of":[28,35,44,50,66,73,76,89,98,106,114,117,135],"improve":[32],"resolution":[34],"mesoscopic":[36,104],"network":[37,46,126,139],"structures,":[38],"that":[39,69,95],"is":[40,70],"those":[41],"meso-level":[42],"structures":[43],"resulting":[47],"from":[48],"groupings":[49],"nodes":[51,77],"their":[53,84],"interlinking.":[54],"To":[55],"this":[56,96],"end,":[57],"we":[58],"establish":[59],"ground":[61,144],"truth":[62,145],"for":[63,86],"sample":[65],"names":[68],"statistically":[71],"representative":[72],"different":[74],"types":[75],"in":[78,109,137],"network,":[81,108],"distinguished":[82],"by":[83,128],"role":[85],"connectivity":[88],"network.":[91],"finally":[93],"observe":[94],"distinction":[97],"node":[99],"roles":[100],"based":[101],"on":[102],"structure":[105],"combination":[110],"with":[111],"quantification":[113],"commonality":[116],"last":[118],"names,":[119],"suggests":[120],"new":[122],"approach":[123],"assess":[125],"distortion":[127,136],"analyze":[132],"reduction":[134],"after":[140],"disambiguation,":[141],"without":[142],"requiring":[143],"sampling.":[146]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
