{"id":"https://openalex.org/W2419369202","doi":"https://doi.org/10.1145/2910896.2910916","title":"Extracting Academic Genealogy Trees from the Networked Digital Library of Theses and Dissertations","display_name":"Extracting Academic Genealogy Trees from the Networked Digital Library of Theses and Dissertations","publication_year":2016,"publication_date":"2016-06-10","ids":{"openalex":"https://openalex.org/W2419369202","doi":"https://doi.org/10.1145/2910896.2910916","mag":"2419369202"},"language":"en","primary_location":{"id":"doi:10.1145/2910896.2910916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2910896.2910916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM/IEEE-CS on 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/A5051806143","display_name":"Wellington Dores","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Wellington Dores","raw_affiliation_strings":["Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085054435","display_name":"Fabr\u00ed\u00adcio Benevenuto","orcid":"https://orcid.org/0000-0001-6875-6259"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fabr\u00edcio Benevenuto","raw_affiliation_strings":["Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045978751","display_name":"Alberto H. F. Laender","orcid":"https://orcid.org/0000-0001-5032-2233"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alberto H.F. Laender","raw_affiliation_strings":["Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051806143"],"corresponding_institution_ids":["https://openalex.org/I110200422"],"apc_list":null,"apc_paid":null,"fwci":0.99952681,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80730085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/cataloging","display_name":"Cataloging","score":0.7539047002792358},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6977875232696533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5610562562942505},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5350251197814941},{"id":"https://openalex.org/keywords/digital-library","display_name":"Digital library","score":0.5087514519691467},{"id":"https://openalex.org/keywords/family-tree","display_name":"Family tree","score":0.4859008193016052},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.44977495074272156},{"id":"https://openalex.org/keywords/library-science","display_name":"Library science","score":0.36956146359443665},{"id":"https://openalex.org/keywords/genealogy","display_name":"Genealogy","score":0.3299194574356079},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3273192048072815},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.15135884284973145}],"concepts":[{"id":"https://openalex.org/C2777922441","wikidata":"https://www.wikidata.org/wiki/Q3535655","display_name":"Cataloging","level":2,"score":0.7539047002792358},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6977875232696533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5610562562942505},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5350251197814941},{"id":"https://openalex.org/C513874922","wikidata":"https://www.wikidata.org/wiki/Q212805","display_name":"Digital library","level":3,"score":0.5087514519691467},{"id":"https://openalex.org/C80429922","wikidata":"https://www.wikidata.org/wiki/Q189977","display_name":"Family tree","level":2,"score":0.4859008193016052},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.44977495074272156},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.36956146359443665},{"id":"https://openalex.org/C53553401","wikidata":"https://www.wikidata.org/wiki/Q47307","display_name":"Genealogy","level":1,"score":0.3299194574356079},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3273192048072815},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.15135884284973145},{"id":"https://openalex.org/C164913051","wikidata":"https://www.wikidata.org/wiki/Q482","display_name":"Poetry","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2910896.2910916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2910896.2910916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3029329602","display_name":null,"funder_award_id":"APQ-01400-14","funder_id":"https://openalex.org/F4320322980","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais"},{"id":"https://openalex.org/G926568715","display_name":null,"funder_award_id":"573871/2008- 6","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322980","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","ror":"https://ror.org/00nc55f03"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W399627078","https://openalex.org/W1799889357","https://openalex.org/W1972926514","https://openalex.org/W1994529543","https://openalex.org/W2051891290","https://openalex.org/W2067878796","https://openalex.org/W2097777089","https://openalex.org/W2101599977","https://openalex.org/W2125315567","https://openalex.org/W2128438887","https://openalex.org/W2145845082","https://openalex.org/W2146408170","https://openalex.org/W2155227590","https://openalex.org/W2165483422","https://openalex.org/W2170141208","https://openalex.org/W2328115122","https://openalex.org/W3100447784"],"related_works":["https://openalex.org/W2413493790","https://openalex.org/W1603503160","https://openalex.org/W221034404","https://openalex.org/W106525709","https://openalex.org/W2921058174","https://openalex.org/W485491086","https://openalex.org/W497396607","https://openalex.org/W3045031648","https://openalex.org/W1969350890","https://openalex.org/W3200320690"],"abstract_inverted_index":{"Along":[0],"the":[1,26,31,70,83,112,116,127,134,148],"history,":[2],"many":[3,51],"researchers":[4,29,74],"provided":[5],"remarkable":[6],"contributions":[7],"to":[8,96,126],"science,":[9],"not":[10],"only":[11],"advancing":[12],"knowledge":[13],"but":[14],"also":[15],"in":[16,46],"terms":[17],"of":[18,28,40,73,87,108,115,129,136,150],"mentoring":[19],"new":[20],"scientists.":[21],"Currently,":[22],"identifying":[23],"and":[24,42,77,89,92,104],"studying":[25],"formation":[27],"over":[30],"years":[32],"is":[33],"a":[34,47,60,65,94,106,151],"challenging":[35],"task":[36],"as":[37],"current":[38],"repositories":[39],"theses":[41],"dissertations":[43],"are":[44],"cataloged":[45],"decentralized":[48],"way":[49],"through":[50],"local":[52],"digital":[53],"libraries.":[54],"In":[55],"this":[56,102],"paper,":[57],"we":[58],"give":[59],"first":[61],"step":[62],"towards":[63],"building":[64],"large":[66],"repository":[67],"that":[68,110],"records":[69],"academic":[71,98,117,130,138],"genealogy":[72,99,118,139],"across":[75],"fields":[76],"countries.":[78],"We":[79,141],"crawled":[80],"data":[81,103],"from":[82,101],"Networked":[84],"Digital":[85],"Library":[86],"Theses":[88],"Dissertations":[90],"(NDLTD)":[91],"develop":[93],"framework":[95,145],"extract":[97],"trees":[100],"provide":[105],"series":[107],"analyses":[109],"describe":[111],"main":[113],"properties":[114],"trees.":[119,140],"Our":[120],"effort":[121],"identified":[122],"interesting":[123],"findings":[124],"related":[125],"structure":[128],"formation,":[131],"which":[132],"highlight":[133],"importance":[135],"cataloging":[137],"hope":[142],"our":[143],"initial":[144],"will":[146],"be":[147],"basis":[149],"much":[152],"larger":[153],"crowdsourcing":[154],"system.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}