{"id":"https://openalex.org/W2129042566","doi":"https://doi.org/10.1007/bf02279354","title":"Quasi-correspondence analysis on scientometric transaction matrices","display_name":"Quasi-correspondence analysis on scientometric transaction matrices","publication_year":1987,"publication_date":"1987-05-01","ids":{"openalex":"https://openalex.org/W2129042566","doi":"https://doi.org/10.1007/bf02279354","mag":"2129042566"},"language":"en","primary_location":{"id":"doi:10.1007/bf02279354","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bf02279354","pdf_url":null,"source":{"id":"https://openalex.org/S148561398","display_name":"Scientometrics","issn_l":"0138-9130","issn":["0138-9130","1588-2861"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320108","host_organization_name":"Springer Nature (Netherlands)","host_organization_lineage":["https://openalex.org/P4310320108","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature (Netherlands)","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientometrics","raw_type":"journal-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/A5080542203","display_name":"R. J. W. Tijseen","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"R. J. W. Tijseen","raw_affiliation_strings":["Science Studies Unit, LISBON-Institute, Leiden, (The Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science Studies Unit, LISBON-Institute, Leiden, (The Netherlands)","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057009278","display_name":"Jan de Leeuw","orcid":"https://orcid.org/0000-0003-1420-1797"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"J. De Leeuw","raw_affiliation_strings":["Department of Data Theory, University of Leiden, Leiden, (The Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Theory, University of Leiden, Leiden, (The Netherlands)","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018542454","display_name":"Anthony F. J. van Raan","orcid":"https://orcid.org/0000-0001-8980-5937"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"A. F. J. Van Raan","raw_affiliation_strings":["Science Studies Unit, LISBON-Institute, Leiden, (The Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science Studies Unit, LISBON-Institute, Leiden, (The Netherlands)","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121797337"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":1.805,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.85079365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"5-6","first_page":"351","last_page":"366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9538999795913696,"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":0.9538999795913696,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/correspondence-analysis","display_name":"Correspondence analysis","score":0.7174915075302124},{"id":"https://openalex.org/keywords/row-and-column-spaces","display_name":"Row and column spaces","score":0.5979619026184082},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.5956377387046814},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.550896167755127},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5493542551994324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5473707318305969},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.537356972694397},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5349432826042175},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.47437697649002075},{"id":"https://openalex.org/keywords/citation-analysis","display_name":"Citation analysis","score":0.4722577631473541},{"id":"https://openalex.org/keywords/affinity-analysis","display_name":"Affinity analysis","score":0.46072059869766235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37873125076293945},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3082486391067505},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28733718395233154},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.27696430683135986},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.1274118721485138},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12538200616836548},{"id":"https://openalex.org/keywords/library-science","display_name":"Library science","score":0.06912228465080261}],"concepts":[{"id":"https://openalex.org/C148298330","wikidata":"https://www.wikidata.org/wiki/Q1784754","display_name":"Correspondence analysis","level":2,"score":0.7174915075302124},{"id":"https://openalex.org/C104140500","wikidata":"https://www.wikidata.org/wiki/Q2088159","display_name":"Row and column spaces","level":3,"score":0.5979619026184082},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.5956377387046814},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.550896167755127},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5493542551994324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5473707318305969},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.537356972694397},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5349432826042175},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.47437697649002075},{"id":"https://openalex.org/C105345328","wikidata":"https://www.wikidata.org/wiki/Q206276","display_name":"Citation analysis","level":3,"score":0.4722577631473541},{"id":"https://openalex.org/C23906176","wikidata":"https://www.wikidata.org/wiki/Q727515","display_name":"Affinity analysis","level":3,"score":0.46072059869766235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37873125076293945},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3082486391067505},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28733718395233154},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.27696430683135986},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.1274118721485138},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12538200616836548},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.06912228465080261},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/bf02279354","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bf02279354","pdf_url":null,"source":{"id":"https://openalex.org/S148561398","display_name":"Scientometrics","issn_l":"0138-9130","issn":["0138-9130","1588-2861"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320108","host_organization_name":"Springer Nature (Netherlands)","host_organization_lineage":["https://openalex.org/P4310320108","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature (Netherlands)","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientometrics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.892.5891","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.892.5891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gifi.stat.ucla.edu/janspubs/1987/articles/tijssen_deleeuw_vanraan_A_87.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W431074225","https://openalex.org/W1484231756","https://openalex.org/W1976194443","https://openalex.org/W1978868011","https://openalex.org/W1981783519","https://openalex.org/W2029420412","https://openalex.org/W2029651345","https://openalex.org/W2044361090","https://openalex.org/W2054118950","https://openalex.org/W2071096576","https://openalex.org/W2134268216","https://openalex.org/W4238306122"],"related_works":["https://openalex.org/W2313440505","https://openalex.org/W3123744736","https://openalex.org/W2137691148","https://openalex.org/W1505848319","https://openalex.org/W2905020035","https://openalex.org/W4281399881","https://openalex.org/W3166006430","https://openalex.org/W4281971614","https://openalex.org/W2919086561","https://openalex.org/W4288077697"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}