{"id":"https://openalex.org/W7164168564","doi":"https://doi.org/10.1017/9781009651752.026","title":"Sampling from Networks","display_name":"Sampling from Networks","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7164168564","doi":"https://doi.org/10.1017/9781009651752.026"},"language":"en","primary_location":{"id":"doi:10.1017/9781009651752.026","doi":"https://doi.org/10.1017/9781009651752.026","is_oa":false,"landing_page_url":"https://doi.org/10.1017/9781009651752.026","pdf_url":null,"source":{"id":"https://openalex.org/S4306462995","display_name":"Cambridge University Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Networks","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W7164218400","display_name":"Networks"},"type":"book-chapter","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/A5103407000","display_name":"A. D. Barbour","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"A. D. Barbour","raw_affiliation_strings":["Universit\u00e4t Z\u00fcrich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Z\u00fcrich","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137525926","display_name":"Gesine Reinert","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gesine Reinert","raw_affiliation_strings":["University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49257885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"609","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9345999956130981,"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":0.9345999956130981,"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":0.043699998408555984,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.0027000000700354576,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/network-sampling","display_name":"network sampling","score":0.9359999895095825},{"id":"https://openalex.org/keywords/random-sampling","display_name":"random sampling","score":0.6480000019073486},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"stratified sampling","score":0.921999990940094},{"id":"https://openalex.org/keywords/horvitz-thompson-estimator","display_name":"Horvitz-Thompson estimator","score":0.9589999914169312},{"id":"https://openalex.org/keywords/snowball-sampling","display_name":"snowball sampling","score":0.9700000286102295},{"id":"https://openalex.org/keywords/network-structure","display_name":"network structure","score":0.6549999713897705},{"id":"https://openalex.org/keywords/network-models","display_name":"network models","score":0.4259999990463257}],"concepts":[{"id":"https://openalex.org/C106399304","wikidata":"https://www.wikidata.org/wiki/Q868123","display_name":"Snowball sampling","level":2,"score":0.8479999899864197},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7458000183105469},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.6201000213623047},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.5979999899864197},{"id":"https://openalex.org/C20353970","wikidata":"https://www.wikidata.org/wiki/Q1056998","display_name":"Simple random sample","level":3,"score":0.5852000117301941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.559499979019165},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5242000222206116},{"id":"https://openalex.org/C82152865","wikidata":"https://www.wikidata.org/wiki/Q7208505","display_name":"Poisson sampling","level":5,"score":0.503000020980835},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.43479999899864197},{"id":"https://openalex.org/C195454712","wikidata":"https://www.wikidata.org/wiki/Q17133861","display_name":"Lot quality assurance sampling","level":4,"score":0.4334999918937683},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.40610000491142273},{"id":"https://openalex.org/C192489979","wikidata":"https://www.wikidata.org/wiki/Q1502997","display_name":"Systematic sampling","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C2780897414","wikidata":"https://www.wikidata.org/wiki/Q7600592","display_name":"Star (game theory)","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37220001220703125},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.3662000000476837},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.34929999709129333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3398999869823456},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3156000077724457},{"id":"https://openalex.org/C170593435","wikidata":"https://www.wikidata.org/wiki/Q4128565","display_name":"Slice sampling","level":4,"score":0.29269999265670776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.289000004529953},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C187192777","wikidata":"https://www.wikidata.org/wiki/Q381699","display_name":"Rejection sampling","level":5,"score":0.2721000015735626},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C71976206","wikidata":"https://www.wikidata.org/wiki/Q841749","display_name":"Star network","level":4,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/9781009651752.026","doi":"https://doi.org/10.1017/9781009651752.026","is_oa":false,"landing_page_url":"https://doi.org/10.1017/9781009651752.026","pdf_url":null,"source":{"id":"https://openalex.org/S4306462995","display_name":"Cambridge University Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Networks","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W90094642","https://openalex.org/W7033710182","https://openalex.org/W4312454986","https://openalex.org/W4391716718","https://openalex.org/W2547085757","https://openalex.org/W4251630659","https://openalex.org/W4242666873","https://openalex.org/W2135162441","https://openalex.org/W2913449864","https://openalex.org/W2187121555"],"abstract_inverted_index":{"Many":[0],"networks":[1,78],"are":[2,33,56,85],"not":[3],"completely":[4],"known;":[5],"the":[6,23,45,53,74,82,92],"only":[7],"access":[8],"to":[9],"them":[10],"is":[11,101,103],"by":[12],"taking":[13],"samples.":[14,27],"This":[15],"chapter":[16],"presents":[17],"methods":[18,32,50],"for":[19,87],"deducing":[20],"information":[21],"about":[22],"whole":[24],"network":[25,54,84,99,118],"from":[26,110],"First,":[28],"some":[29,88],"classical":[30],"sampling":[31,43,49,67],"briefly":[34],"considered;":[35],"random":[36],"sampling,":[37,60,63],"with":[38],"and":[39,44,65,68,79],"without":[40],"replacement,":[41],"stratified":[42],"Horvitz\u2013Thompson":[46],"estimator.":[47],"Then":[48],"based":[51],"on":[52],"structure":[55,75],"introduced,":[57],"including":[58],"two-level":[59],"induced":[61],"subgraph":[62],"star":[64],"snowball":[66],"traversal":[69],"sampling.":[70],"The":[71],"differences":[72],"between":[73],"of":[76,81,94,115],"sample":[77,100],"those":[80],"parent":[83],"illustrated":[86],"simple":[89],"models.":[90],"Finally,":[91],"problem":[93],"assessing":[95],"whether":[96],"a":[97,116],"particular":[98],"`interesting\u2019":[102],"discussed;":[104],"interesting,":[105],"in":[106],"that":[107],"it":[108],"differs":[109],"what":[111],"might":[112],"be":[113],"expected":[114],"typical":[117],"sample.":[119]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-06-11T00:00:00"}