{"id":"https://openalex.org/W110925076","doi":null,"title":"Modeling Social Networks with Sampled or Missing Data","display_name":"Modeling Social Networks with Sampled or Missing Data","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W110925076","mag":"110925076"},"language":"en","primary_location":{"id":"mag:110925076","doi":null,"is_oa":false,"landing_page_url":"http://www.csss.washington.edu/Papers/wp75.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","indexed_in":[],"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/A5034909666","display_name":"Mark S. Handcock","orcid":"https://orcid.org/0000-0002-9985-2785","observed_orcids":["https://orcid.org/0000-0002-9985-2785"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark S. Handcock","raw_affiliation_strings":["University of Washington"],"raw_orcid":"https://orcid.org/0000-0002-9985-2785","affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022543620","display_name":"Krista J. Gile","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krista J. Gile","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":2.4566,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.87573301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.8711000084877014,"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":0.8711000084877014,"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/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.09109999984502792,"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/T11539","display_name":"Survey Methodology and Nonresponse","score":0.004699999932199717,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/social-network-models","display_name":"social network models","score":0.7609999775886536},{"id":"https://openalex.org/keywords/network-sampling","display_name":"network sampling","score":0.8080000281333923},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.8379999995231628},{"id":"https://openalex.org/keywords/random-graph-models","display_name":"random graph models","score":0.7710000276565552},{"id":"https://openalex.org/keywords/likelihood-based-inference","display_name":"likelihood-based inference","score":0.6819999814033508},{"id":"https://openalex.org/keywords/collaboration-networks","display_name":"collaboration networks","score":0.746999979019165},{"id":"https://openalex.org/keywords/add-health","display_name":"Add Health","score":0.8999999761581421}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7157991528511047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318780779838562},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5884147882461548},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5882949233055115},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5144939422607422},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.48850977420806885},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48548343777656555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4479130506515503},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.44377604126930237},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.4291401207447052},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.4169691503047943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31689876317977905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3159202039241791},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.2256391942501068},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.1059739887714386},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.10490825772285461},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10194605588912964},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:110925076","doi":null,"is_oa":false,"landing_page_url":"http://www.csss.washington.edu/Papers/wp75.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1573937741","https://openalex.org/W2054323527","https://openalex.org/W2066459332","https://openalex.org/W2069412834","https://openalex.org/W2076736556","https://openalex.org/W2100358124","https://openalex.org/W2130354913","https://openalex.org/W2132092465","https://openalex.org/W2147427313","https://openalex.org/W2155910443"],"related_works":["https://openalex.org/W7002191074","https://openalex.org/W7097294044","https://openalex.org/W53349283","https://openalex.org/W4377140337","https://openalex.org/W2141716843","https://openalex.org/W2525527392","https://openalex.org/W7100518625","https://openalex.org/W2035224529","https://openalex.org/W4236508359","https://openalex.org/W7098832958"],"abstract_inverted_index":{"Network":[0],"models":[1,31,53,193],"are":[2,69,80,118],"widely":[3],"used":[4,153],"to":[5,235],"represent":[6,36,43],"relational":[7],"information":[8,74,196],"among":[9],"interacting":[10],"units":[11],"and":[12,40,78,114,135,156,172,203,219],"the":[13,33,41,48,59,67,73,125,133,158,169,205,209,227],"implications":[14],"of":[15,20,63,108,149,161,176,211,223,231],"these":[16],"relations.":[17],"In":[18,102,128],"studies":[19],"social":[21,38,55,191,224],"networks":[22,56],"recent":[23],"emphasis":[24],"has":[25],"been":[26],"placed":[27],"on":[28,141,195,215],"random":[29],"graph":[30],"where":[32],"nodes":[34],"usually":[35],"individual":[37],"actors":[39],"edges":[42],"a":[44,106,109,174,216],"specified":[45],"relationship":[46],"between":[47,116],"actors.":[49],"Most":[50],"inference":[51,139,167,189],"for":[52,54,138,190],"assumes":[57],"that":[58,72,179],"presence":[60],"or":[61],"absence":[62],"all":[64],"links":[65,115],"in":[66,91,124,154],"network":[68,95,143,150,177,192,199,218],"completely":[70,76],"observed,":[71],"is":[75,87,97,111],"reliable":[77],"there":[79],"no":[81],"measurement":[82],"(e.g.":[83],"recording)":[84],"errors.":[85],"This":[86],"clearly":[88],"not":[89,122],"true":[90],"practice,":[92],"as":[93],"much":[94],"data":[96,178],"collected":[98],"though":[99],"sample":[100],"surveys.":[101],"addition":[103],"even":[104],"if":[105],"census":[107],"population":[110],"attempted,":[112],"individuals":[113,117],"missed":[119],"(i.e.,":[120],"do":[121],"appear":[123],"recorded":[126],"data).":[127],"this":[129,184],"paper":[130],"we":[131],"develop":[132,173,188],"conceptual":[134],"computational":[136],"theory":[137],"based":[140,194],"sampled":[142],"information.":[144],"We":[145,165,186,201],"first":[146],"review":[147],"forms":[148,160],"sampling":[151,213],"designs":[152,214],"practice":[155],"consider":[157,166],"various":[159],"out-of-design":[162],"missing":[163,236],"data.":[164,237],"from":[168,197,226],"likelihood":[170],"framework,":[171],"typology":[175],"reflects":[180],"their":[181],"treatment":[182],"within":[183],"frame.":[185],"then":[187],"adaptive":[198],"mechanisms.":[200],"motivated":[202],"illustrate":[204],"ideas":[206],"by":[207,220],"analyzing":[208],"effect":[210],"link-tracing":[212],"collaboration":[217],"an":[221],"analysis":[222],"relations":[225],"National":[228],"Longitudinal":[229],"Study":[230],"Adolescent":[232],"Health":[233],"subject":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}
