{"id":"https://openalex.org/W2770956569","doi":"https://doi.org/10.1145/3152434.3152448","title":"Biases in Data-Driven Networking, and What to Do About Them","display_name":"Biases in Data-Driven Networking, and What to Do About Them","publication_year":2017,"publication_date":"2017-11-27","ids":{"openalex":"https://openalex.org/W2770956569","doi":"https://doi.org/10.1145/3152434.3152448","mag":"2770956569"},"language":"en","primary_location":{"id":"doi:10.1145/3152434.3152448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3152434.3152448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Workshop on Hot Topics in Networks","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/A5018268841","display_name":"Mihovil Bartulovi\u0107","orcid":"https://orcid.org/0000-0002-4859-3103"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mihovil Bartulovic","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103258769","display_name":"Junchen Jiang","orcid":"https://orcid.org/0000-0002-6877-1683"},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Junchen Jiang","raw_affiliation_strings":["Microsoft Research/Carnegie, Mellon University"],"affiliations":[{"raw_affiliation_string":"Microsoft Research/Carnegie, Mellon University","institution_ids":["https://openalex.org/I4210124949","https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079499739","display_name":"Sivaraman Balakrishnan","orcid":"https://orcid.org/0000-0002-4538-8665"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sivaraman Balakrishnan","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079175103","display_name":"Vyas Sekar","orcid":"https://orcid.org/0000-0001-5452-8976"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vyas Sekar","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006051783","display_name":"Bruno Sinopoli","orcid":"https://orcid.org/0000-0001-5778-4879"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruno Sinopoli","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018268841"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.036,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80769831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/parallels","display_name":"Parallels","score":0.7752819657325745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7281268835067749},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6502553820610046},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6395368576049805},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.6240807771682739},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6238030791282654},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.45812803506851196},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.4230634272098541},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4183209538459778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21767044067382812},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10687574744224548},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.09657120704650879}],"concepts":[{"id":"https://openalex.org/C2775922551","wikidata":"https://www.wikidata.org/wiki/Q7135033","display_name":"Parallels","level":2,"score":0.7752819657325745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7281268835067749},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6502553820610046},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6395368576049805},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.6240807771682739},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6238030791282654},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.45812803506851196},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4230634272098541},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4183209538459778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21767044067382812},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10687574744224548},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.09657120704650879},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3152434.3152448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3152434.3152448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Workshop on Hot Topics in Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G3378533777","display_name":null,"funder_award_id":"CNS-1565343, CNS-1345305, and DMS-1713003.","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1486039312","https://openalex.org/W1567394263","https://openalex.org/W1627544262","https://openalex.org/W1971712327","https://openalex.org/W1974561310","https://openalex.org/W1975684011","https://openalex.org/W1976944900","https://openalex.org/W1998427280","https://openalex.org/W2039811614","https://openalex.org/W2050600889","https://openalex.org/W2067332379","https://openalex.org/W2112420033","https://openalex.org/W2115363289","https://openalex.org/W2117227640","https://openalex.org/W2120848666","https://openalex.org/W2137370054","https://openalex.org/W2138909795","https://openalex.org/W2146874116","https://openalex.org/W2150453038","https://openalex.org/W2152258794","https://openalex.org/W2156916299","https://openalex.org/W2165698076","https://openalex.org/W2167407752","https://openalex.org/W2210042542","https://openalex.org/W2305135388","https://openalex.org/W2309679942","https://openalex.org/W2311303258","https://openalex.org/W2482797934","https://openalex.org/W2495130909","https://openalex.org/W2504195863","https://openalex.org/W2546571074","https://openalex.org/W2558881939","https://openalex.org/W2605153712","https://openalex.org/W2743636887","https://openalex.org/W2744628735","https://openalex.org/W2744660401","https://openalex.org/W2759212564","https://openalex.org/W2761665523","https://openalex.org/W2768254111","https://openalex.org/W2962802563","https://openalex.org/W2997214666","https://openalex.org/W3005850368","https://openalex.org/W3098679278","https://openalex.org/W3122781290","https://openalex.org/W3160502863","https://openalex.org/W6628939419"],"related_works":["https://openalex.org/W2277794996","https://openalex.org/W1964879957","https://openalex.org/W2504593154","https://openalex.org/W4244588036","https://openalex.org/W4235632730","https://openalex.org/W2005046750","https://openalex.org/W4390115938","https://openalex.org/W2807806191","https://openalex.org/W1534056076","https://openalex.org/W2808752767"],"abstract_inverted_index":{"Recent":[0],"efforts":[1,14],"highlight":[2],"the":[3,27,55,100],"promise":[4],"of":[5,30],"data-driven":[6],"approaches":[7],"to":[8,25,48,68,89],"optimize":[9],"network":[10,23],"decisions.":[11,74],"Many":[12],"such":[13,39,82],"use":[15],"trace-driven":[16],"evaluation;":[17],"i.e.,":[18],"running":[19,34],"offline":[20],"analysis":[21],"on":[22,81],"traces":[24],"estimate":[26],"potential":[28],"benefits":[29],"different":[31],"policies":[32,50],"before":[33],"them":[35],"in":[36,54,96],"practice.":[37],"Unfortunately,":[38],"frameworks":[40],"can":[41],"have":[42],"fundamental":[43],"pitfalls":[44,83,92],"(e.g.,":[45],"skews":[46],"due":[47],"previous":[49],"that":[51,65],"were":[52],"used":[53],"data":[56,61],"collection":[57],"phase":[58],"and":[59,71,84],"insufficient":[60],"for":[62],"specific":[63],"subpopulations)":[64],"could":[66],"lead":[67],"misleading":[69],"estimates":[70],"ultimately":[72],"suboptimal":[73],"In":[75],"this":[76],"paper,":[77],"we":[78],"shed":[79],"light":[80],"identify":[85],"a":[86],"promising":[87],"roadmap":[88],"address":[90],"these":[91],"by":[93],"leveraging":[94],"parallels":[95],"causal":[97],"inference,":[98],"namely":[99],"Doubly":[101],"Robust":[102],"estimator.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
