{"id":"https://openalex.org/W2152886806","doi":"https://doi.org/10.1145/2487575.2487695","title":"Graph cluster randomization","display_name":"Graph cluster randomization","publication_year":2013,"publication_date":"2013-08-11","ids":{"openalex":"https://openalex.org/W2152886806","doi":"https://doi.org/10.1145/2487575.2487695","mag":"2152886806"},"language":"en","primary_location":{"id":"doi:10.1145/2487575.2487695","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487575.2487695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-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/A5072263832","display_name":"Johan Ugander","orcid":"https://orcid.org/0000-0001-5655-4086"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Johan Ugander","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038907218","display_name":"Brian Karrer","orcid":"https://orcid.org/0000-0002-6252-8332"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Karrer","raw_affiliation_strings":["Facebook, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Facebook, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081744093","display_name":"Lars B\u00e4ckstr\u00f6m","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lars Backstrom","raw_affiliation_strings":["Facebook, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Facebook, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I4210099336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055710645","display_name":"Jon Kleinberg","orcid":"https://orcid.org/0000-0002-1929-2512"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jon Kleinberg","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072263832"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":10.3186,"has_fulltext":false,"cited_by_count":190,"citation_normalized_percentile":{"value":0.98594454,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"329","last_page":"337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.986299991607666,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.986299991607666,"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/T10557","display_name":"Social Media and Politics","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9848999977111816,"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/estimator","display_name":"Estimator","score":0.662497341632843},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5963169932365417},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5345040559768677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5269870758056641},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4612729549407959},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.45782336592674255},{"id":"https://openalex.org/keywords/randomization","display_name":"Randomization","score":0.435374915599823},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.43537163734436035},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3921506404876709},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35787755250930786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3414137363433838},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31225836277008057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2517116665840149},{"id":"https://openalex.org/keywords/randomized-controlled-trial","display_name":"Randomized controlled trial","score":0.08384272456169128}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.662497341632843},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5963169932365417},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5345040559768677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5269870758056641},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4612729549407959},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45782336592674255},{"id":"https://openalex.org/C204243189","wikidata":"https://www.wikidata.org/wiki/Q1363085","display_name":"Randomization","level":3,"score":0.435374915599823},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.43537163734436035},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3921506404876709},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35787755250930786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3414137363433838},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31225836277008057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2517116665840149},{"id":"https://openalex.org/C168563851","wikidata":"https://www.wikidata.org/wiki/Q1436668","display_name":"Randomized controlled trial","level":2,"score":0.08384272456169128},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2487575.2487695","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487575.2487695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W390146837","https://openalex.org/W1995906082","https://openalex.org/W2001947543","https://openalex.org/W2007331509","https://openalex.org/W2018528171","https://openalex.org/W2061985648","https://openalex.org/W2072108702","https://openalex.org/W2102546764","https://openalex.org/W2112090702","https://openalex.org/W2127048411","https://openalex.org/W2127248062","https://openalex.org/W2132917208","https://openalex.org/W2145124007","https://openalex.org/W2169036209","https://openalex.org/W2169113736","https://openalex.org/W2187559700","https://openalex.org/W2905110430","https://openalex.org/W3102641634","https://openalex.org/W4233471163"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W4287880334"],"abstract_inverted_index":{"A/B":[0,41],"testing":[1,42],"is":[2,15,43,46,151],"a":[3,23,30,74,141],"standard":[4],"approach":[5],"for":[6,49,123],"evaluating":[7],"the":[8,13,18,33,55,121,155],"effect":[9,148],"of":[10,22,32,57,131],"online":[11],"experiments;":[12],"goal":[14],"to":[16,36,61,80,100,104,119],"estimate":[17,149],"`average":[19],"treatment":[20,56,83],"effect'":[21],"new":[24],"feature":[25],"or":[26],"condition":[27],"by":[28],"exposing":[29],"sample":[31],"overall":[34],"population":[35],"it.":[37],"A":[38],"drawback":[39],"with":[40],"that":[44,150,154],"it":[45],"poorly":[47],"suited":[48],"experiments":[50],"involving":[51],"social":[52,67,86],"interference,":[53],"when":[54],"individuals":[58,63,96],"spills":[59],"over":[60],"neighboring":[62],"along":[64],"an":[65,105,115,147],"underlying":[66],"network.":[68],"In":[69],"this":[70],"work,":[71],"we":[72,90],"propose":[73],"novel":[75],"methodology":[76],"using":[77],"graph":[78,111],"clustering":[79],"analyze":[81],"average":[82],"effects":[84],"under":[85,94,129],"interference.":[87],"To":[88],"begin,":[89],"characterize":[91],"graph-theoretic":[92],"conditions":[93],"which":[95],"can":[97,144],"be":[98,101],"considered":[99],"`network":[102],"exposed'":[103],"experiment.":[106],"We":[107],"then":[108,145],"show":[109],"how":[110],"cluster":[112],"randomization":[113],"admits":[114],"efficient":[116],"exact":[117],"algorithm":[118],"compute":[120],"probabilities":[122,137],"each":[124],"vertex":[125],"being":[126],"network":[127],"exposed":[128],"several":[130],"these":[132,136],"exposure":[133,156],"conditions.":[134],"Using":[135],"as":[138],"inverse":[139],"weights,":[140],"Horvitz-Thompson":[142],"estimator":[143],"provide":[146],"unbiased,":[152],"provided":[153],"model":[157],"has":[158],"been":[159],"properly":[160],"specified.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":45},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}