{"id":"https://openalex.org/W4412825860","doi":"https://doi.org/10.1145/3711896.3736940","title":"Error Bounds for the Network Scale-Up Method","display_name":"Error Bounds for the Network Scale-Up Method","publication_year":2025,"publication_date":"2025-08-01","ids":{"openalex":"https://openalex.org/W4412825860","doi":"https://doi.org/10.1145/3711896.3736940"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3736940","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736940","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3711896.3736940","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000122700","display_name":"Sergio D\u00edaz-Aranda","orcid":"https://orcid.org/0000-0002-6919-9236"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]},{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Sergio D\u00edaz-Aranda","raw_affiliation_strings":["IMDEA Networks Institute, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I2802499160","https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090211271","display_name":"Juan Marcos Ram\u00edrez","orcid":"https://orcid.org/0000-0003-0000-1073"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan Marcos Ramirez","raw_affiliation_strings":["IMDEA Networks Institute, Legan\u00e9s, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067157153","display_name":"Mohit Daga","orcid":"https://orcid.org/0000-0002-7579-156X"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mohit Daga","raw_affiliation_strings":["Division of Theoretical Computer Science, EECS, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Division of Theoretical Computer Science, EECS, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025956807","display_name":"Jaya Prakash Champati","orcid":"https://orcid.org/0000-0002-5127-8497"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jaya Prakash Champati","raw_affiliation_strings":["University of Victoria, Victoria, BC, Canada"],"affiliations":[{"raw_affiliation_string":"University of Victoria, Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042045106","display_name":"Jos\u00e9 Aguilar","orcid":"https://orcid.org/0000-0003-4194-6882"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Aguilar","raw_affiliation_strings":["IMDEA Networks Institute, Legan\u00e9s, Madrid, Spain and Universidad de Los Andes, M\u00e9rida, Venezuela"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute, Legan\u00e9s, Madrid, Spain and Universidad de Los Andes, M\u00e9rida, Venezuela","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090172801","display_name":"Rosa E. Lillo","orcid":"https://orcid.org/0000-0003-0802-4691"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rosa Lillo","raw_affiliation_strings":["uc3m-Santander Big Data Institute, Universidad Carlos III de Madrid, Getafe, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"uc3m-Santander Big Data Institute, Universidad Carlos III de Madrid, Getafe, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014057564","display_name":"Antonio Fern\u00e1ndez Anta","orcid":"https://orcid.org/0000-0001-6501-2377"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Fern\u00e1ndez Anta","raw_affiliation_strings":["IMDEA Software Institute, IMDEA Networks Institute, Legan\u00e9s, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Software Institute, IMDEA Networks Institute, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I2802499160"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5000122700"],"corresponding_institution_ids":["https://openalex.org/I2802499160","https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1481336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"498","last_page":"509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9731000065803528,"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":0.9731000065803528,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.963100016117096,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9459999799728394,"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/computer-science","display_name":"Computer science","score":0.6709702610969543},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6473450660705566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6709702610969543},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6473450660705566},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3736940","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736940","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3736940","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736940","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1965765215","https://openalex.org/W1997834591","https://openalex.org/W1998988785","https://openalex.org/W2006259605","https://openalex.org/W2103012681","https://openalex.org/W2109851642","https://openalex.org/W2116721722","https://openalex.org/W2117744325","https://openalex.org/W2161676762","https://openalex.org/W2162399824","https://openalex.org/W2180937643","https://openalex.org/W2976859544","https://openalex.org/W3109805872","https://openalex.org/W3159355295","https://openalex.org/W3164294279","https://openalex.org/W4312512934","https://openalex.org/W4393161035","https://openalex.org/W6677266206"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Epidemiologists":[0],"and":[1,56,111,136,200,233],"social":[2,25,53],"scientists":[3],"have":[4,79],"used":[5],"the":[6,17,37,44,52,57,64,70,90,94,104,112,118,134,138,142,152,168,218,221,225,228],"Network":[7],"Scale-Up":[8],"Method":[9],"(NSUM)":[10],"for":[11,198],"over":[12],"thirty":[13],"years":[14],"to":[15,43,69,117,216],"estimate":[16,66,143],"size":[18,190,223],"of":[19,33,39,114,148,188,212,220,227],"a":[20,24,31,146,156,176],"hidden":[21,45,58,119,139],"sub-population":[22,59],"within":[23],"network.":[26],"This":[27,84],"method":[28],"involves":[29],"querying":[30],"subset":[32],"network":[34,54,135,157,170],"nodes":[35,106],"about":[36],"number":[38,113],"their":[40,109],"neighbors":[41,115],"belonging":[42,116],"sub-population.":[46,120],"In":[47],"general,":[48],"NSUM":[49,65,76,98],"assumes":[50],"that":[51,103,129,175],"topology":[55],"distribution":[60],"are":[61,124],"well-behaved;":[62],"hence,":[63],"is":[67,171,206],"close":[68],"actual":[71],"value.":[72],"However,":[73],"bounds":[74,88,101,166,197],"on":[75,89,224],"estimation":[77],"errors":[78],"not":[80],"been":[81],"analytically":[82],"proven.":[83],"paper":[85],"provides":[86],"analytical":[87,196],"error":[91,165],"incurred":[92],"by":[93,208],"two":[95],"most":[96],"popular":[97],"estimators.":[99],"These":[100],"assume":[102],"queried":[105],"accurately":[107],"provide":[108],"degree":[110],"Our":[121,203],"key":[122],"findings":[123],"twofold.":[125],"First,":[126],"we":[127,162],"show":[128],"when":[130,167],"an":[131,209],"adversary":[132],"designs":[133],"places":[137],"sub-population,":[140],"then":[141],"can":[144,180],"be":[145,181],"factor":[147,179],"\u03a9(\u221an)":[149],"off":[150],"from":[151],"real":[153,234],"value":[154],"(in":[155],"with":[158,183],"n":[159],"nodes).":[160],"Second,":[161],"also":[163],"prove":[164],"underlying":[169],"randomly":[172],"generated,":[173],"showing":[174],"small":[177],"constant":[178],"achieved":[182],"high":[184],"probability":[185],"using":[186],"samples":[187],"logarithmic":[189],"O(log":[191],"n).":[192],"We":[193],"present":[194],"improved":[195],"Erd\u0151s-R\u00e9nyi":[199],"Scale-Free":[201],"networks.":[202,235],"theoretical":[204],"analysis":[205],"supported":[207],"extensive":[210],"set":[211],"numerical":[213],"experiments":[214],"designed":[215],"determine":[217],"effect":[219],"sample":[222],"accuracy":[226],"estimates":[229],"in":[230],"both":[231],"synthetic":[232]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}