{"id":"https://openalex.org/W2898140261","doi":"https://doi.org/10.1109/asonam.2018.8508716","title":"Missing Network Data A Comparison of Different Imputation Methods","display_name":"Missing Network Data A Comparison of Different Imputation Methods","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898140261","doi":"https://doi.org/10.1109/asonam.2018.8508716","mag":"2898140261"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.rug.nl/ws/files/82953247/64481823_4658825_Krause_Huisman_Steglich_Snijders_2018.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037504833","display_name":"Robert W. Krause","orcid":"https://orcid.org/0000-0003-4288-4732"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Robert W. Krause","raw_affiliation_strings":["Dept. of Sociology, University of Groningen, Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Sociology, University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037069958","display_name":"Mark Huisman","orcid":"https://orcid.org/0000-0002-9009-7859"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mark Huisman","raw_affiliation_strings":["Dept. of Sociology, University of Groningen, Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Sociology, University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030685996","display_name":"Christian Steglich","orcid":"https://orcid.org/0000-0002-9097-0873"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Christian Steglich","raw_affiliation_strings":["Dept. of Sociology, University of Groningen, Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Sociology, University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084821293","display_name":"Tom A. B. Snijders","orcid":"https://orcid.org/0000-0003-3157-4157"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Tom A.B. Snijders","raw_affiliation_strings":["Dept. of Sociology, University of Groningen, Groningen, Netherlands","Nuffield College, Oxford, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Sociology, University of Groningen, Groningen, Netherlands","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"Nuffield College, Oxford, United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169381384"],"apc_list":null,"apc_paid":null,"fwci":16.4286,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.99500713,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9821000099182129,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.9100239872932434},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.8999577760696411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6401755213737488},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5841006636619568},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.491105318069458},{"id":"https://openalex.org/keywords/exponential-random-graph-models","display_name":"Exponential random graph models","score":0.4786466360092163},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3661462962627411},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.30252164602279663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24072980880737305},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23065361380577087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17682453989982605},{"id":"https://openalex.org/keywords/random-graph","display_name":"Random graph","score":0.09876075387001038},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.0780169665813446}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.9100239872932434},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8999577760696411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6401755213737488},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5841006636619568},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.491105318069458},{"id":"https://openalex.org/C30549945","wikidata":"https://www.wikidata.org/wiki/Q5421526","display_name":"Exponential random graph models","level":4,"score":0.4786466360092163},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3661462962627411},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.30252164602279663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24072980880737305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23065361380577087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17682453989982605},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.09876075387001038},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0780169665813446}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/asonam.2018.8508716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.rug.nl:publications/85756653-2eec-4bba-a8f8-f2f7845d6cee","is_oa":true,"landing_page_url":"https://hdl.handle.net/11370/85756653-2eec-4bba-a8f8-f2f7845d6cee","pdf_url":"https://pure.rug.nl/ws/files/82953247/64481823_4658825_Krause_Huisman_Steglich_Snijders_2018.pdf","source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Krause, R W, Huisman, M, Steglich, C & Snijders, T A B 2018, Missing Network Data A Comparison of Different Imputation Methods. in 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining., 8508716, IEEE, pp. 159-163, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining , Barcelona, Spain, 28/08/2018. https://doi.org/10.1109/ASONAM.2018.8508716","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.rug.nl:openaire/85756653-2eec-4bba-a8f8-f2f7845d6cee","is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/85756653-2eec-4bba-a8f8-f2f7845d6cee","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Krause, R W, Huisman, M, Steglich, C & Snijders, T A B 2018, Missing Network Data A Comparison of Different Imputation Methods. in 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining., 8508716, IEEE, pp. 159-163, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining , Barcelona, Spain, 28/08/2018. https://doi.org/10.1109/ASONAM.2018.8508716","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:rug:oai:pure.rug.nl:publications/de6c70d8-3e0f-483d-b8c0-81ad1625665a","is_oa":false,"landing_page_url":"https://www.rug.nl/research/portal/en/publications/missing-network-data-a-comparison-of-different-imputation-methods(de6c70d8-3e0f-483d-b8c0-81ad1625665a).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 159 - 163","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.rug.nl:publications/85756653-2eec-4bba-a8f8-f2f7845d6cee","is_oa":true,"landing_page_url":"https://hdl.handle.net/11370/85756653-2eec-4bba-a8f8-f2f7845d6cee","pdf_url":"https://pure.rug.nl/ws/files/82953247/64481823_4658825_Krause_Huisman_Steglich_Snijders_2018.pdf","source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Krause, R W, Huisman, M, Steglich, C & Snijders, T A B 2018, Missing Network Data A Comparison of Different Imputation Methods. in 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining., 8508716, IEEE, pp. 159-163, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining , Barcelona, Spain, 28/08/2018. https://doi.org/10.1109/ASONAM.2018.8508716","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2898140261.pdf","grobid_xml":"https://content.openalex.org/works/W2898140261.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W612972800","https://openalex.org/W1587026990","https://openalex.org/W1680396847","https://openalex.org/W1810028515","https://openalex.org/W1861778536","https://openalex.org/W1970034774","https://openalex.org/W1988183975","https://openalex.org/W2019536654","https://openalex.org/W2060173274","https://openalex.org/W2071321532","https://openalex.org/W2073697690","https://openalex.org/W2099205492","https://openalex.org/W2100358124","https://openalex.org/W2110651557","https://openalex.org/W2118502261","https://openalex.org/W2136676173","https://openalex.org/W2141022100","https://openalex.org/W2156267802","https://openalex.org/W2180060901","https://openalex.org/W2183777063","https://openalex.org/W2225369091","https://openalex.org/W2295789823","https://openalex.org/W2481771034","https://openalex.org/W2511599668","https://openalex.org/W2552651938","https://openalex.org/W2578482466","https://openalex.org/W2582743722","https://openalex.org/W2899341814","https://openalex.org/W4299718460","https://openalex.org/W6635149568","https://openalex.org/W6697531075","https://openalex.org/W6755505395"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549","https://openalex.org/W3123177881"],"abstract_inverted_index":{"This":[0],"paper":[1],"compares":[2],"several":[3,20],"imputation":[4,75,78],"methods":[5,49],"for":[6],"missing":[7,21,37,67,96],"data":[8,22],"in":[9,30],"network":[10],"analysis":[11],"on":[12,81],"a":[13],"diverse":[14],"set":[15],"of":[16,33,41,51,66,95],"simulated":[17],"networks":[18,34],"under":[19,92],"mechanisms.":[23],"Previous":[24],"work":[25],"has":[26],"highlighted":[27],"the":[28,42,47],"biases":[29,90],"descriptive":[31],"statistics":[32],"introduced":[35],"by":[36],"data.":[38,68,97],"The":[39,69],"results":[40,70],"current":[43],"study":[44],"indicate":[45,72],"that":[46,73],"default":[48],"(analysis":[50],"available":[52],"cases":[53],"and":[54],"null-tie":[55],"imputation)":[56],"do":[57],"not":[58],"perform":[59],"well":[60],"with":[61],"moderate":[62],"or":[63],"large":[64,93],"amounts":[65,94],"further":[71],"multiple":[74],"using":[76],"sophisticated":[77],"models":[79,85],"based":[80],"exponential":[82],"random":[83],"graph":[84],"(ERGMs)":[86],"lead":[87],"to":[88],"acceptable":[89],"even":[91]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-31T07:19:18.363097","created_date":"2025-10-10T00:00:00"}