{"id":"https://openalex.org/W4411945974","doi":"https://doi.org/10.1145/3736252.3742626","title":"Differences-in-Neighbors for Network Interference in Experiments","display_name":"Differences-in-Neighbors for Network Interference in Experiments","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4411945974","doi":"https://doi.org/10.1145/3736252.3742626"},"language":"en","primary_location":{"id":"doi:10.1145/3736252.3742626","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742626","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742626","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742626","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002767768","display_name":"Tianyi Peng","orcid":"https://orcid.org/0000-0002-9046-3206"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tianyi Peng","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-9046-3206","affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118790703","display_name":"Naimeng Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naimeng Ye","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0009-0003-1444-1173","affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038710330","display_name":"Andrew Zheng","orcid":"https://orcid.org/0000-0001-6711-553X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Zheng","raw_affiliation_strings":["UBC's Sauder School of Business, Vancouver, Canada"],"raw_orcid":"https://orcid.org/0000-0001-6711-553X","affiliations":[{"raw_affiliation_string":"UBC's Sauder School of Business, Vancouver, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002767768"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11964274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"787","last_page":"787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.7335000038146973,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.7335000038146973,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.7116000056266785,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10557","display_name":"Social Media and Politics","score":0.6985999941825867,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.7182600498199463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.541159987449646},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2996599078178406},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.05412447452545166}],"concepts":[{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.7182600498199463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.541159987449646},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2996599078178406},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.05412447452545166}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3736252.3742626","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742626","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742626","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3736252.3742626","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742626","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742626","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411945974.pdf","grobid_xml":"https://content.openalex.org/works/W4411945974.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"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":{"Experiments":[0],"in":[1],"online":[2],"platforms":[3],"frequently":[4],"suffer":[5],"from":[6,66],"network":[7,96],"interference,":[8],"where":[9,69],"treatments":[10,44],"applied":[11],"to":[12,38],"one":[13],"unit":[14],"affect":[15],"outcomes":[16],"of":[17],"connected":[18,40],"ones,":[19],"violating":[20],"the":[21,46,75,94],"Stable":[22],"Unit":[23],"Treatment":[24],"Value":[25],"Assumption":[26],"(SUTVA)":[27],"and":[28,42,64],"substantially":[29],"biasing":[30],"treatment":[31],"effect":[32],"estimations.":[33],"A":[34],"common":[35],"solution":[36],"is":[37],"cluster":[39,47],"units":[41],"randomize":[43],"at":[45],"level,":[48],"typically":[49],"followed":[50],"by":[51],"estimation":[52],"using":[53],"either":[54],"a":[55],"simple":[56],"difference-in-means":[57],"(DM)":[58],"estimator,":[59,79],"which":[60,80],"ignores":[61],"remaining":[62],"interference":[63,72],"suffers":[65],"O(\u03b4)":[67],"bias":[68,82],"\u03b4":[70],"measures":[71],"strength;":[73],"or":[74],"unbiased":[76],"Horvitz-Thompson":[77],"(HT)":[78],"eliminates":[81],"through":[83],"importance":[84],"sampling":[85],"but":[86],"incurs":[87],"exponentially":[88],"high":[89],"variance":[90],"scaling":[91],"with":[92,103],"d,":[93],"maximum":[95],"degree.":[97],"This":[98],"fundamental":[99],"limitation":[100],"persists":[101],"even":[102],"sophisticated":[104],"clustering":[105],"designs,":[106],"creating":[107],"narrow":[108],"bias-variance":[109],"tradeoffs":[110],"often":[111],"inadequate":[112],"for":[113],"practical":[114],"applications.":[115]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}