{"id":"https://openalex.org/W3157139954","doi":"https://doi.org/10.1109/tnet.2021.3075430","title":"Counter-Intuitive Characteristics of Rational Decision-Making Using Biased Inputs in Information Networks","display_name":"Counter-Intuitive Characteristics of Rational Decision-Making Using Biased Inputs in Information Networks","publication_year":2021,"publication_date":"2021-05-05","ids":{"openalex":"https://openalex.org/W3157139954","doi":"https://doi.org/10.1109/tnet.2021.3075430","mag":"3157139954"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2021.3075430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2021.3075430","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-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/A5060659034","display_name":"Himaja Kesavareddigari","orcid":"https://orcid.org/0000-0003-3737-1043"},"institutions":[{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]},{"id":"https://openalex.org/I4210111675","display_name":"Market Matters","ror":"https://ror.org/021yan307","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111675"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Himaja Kesavareddigari","raw_affiliation_strings":["Qualcomm Inc, Bridgewater Township, NJ, USA","The Ohio State University, Columbus, OH, USA"],"raw_orcid":"https://orcid.org/0000-0003-3737-1043","affiliations":[{"raw_affiliation_string":"Qualcomm Inc, Bridgewater Township, NJ, USA","institution_ids":["https://openalex.org/I4210087596","https://openalex.org/I4210111675"]},{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076974020","display_name":"Atilla Ery\u0131lmaz","orcid":"https://orcid.org/0000-0001-5560-5806"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atilla Eryilmaz","raw_affiliation_strings":["The Ohio State University, Columbus, OH, USA"],"raw_orcid":"https://orcid.org/0000-0001-5560-5806","affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.0454171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"4","first_page":"1774","last_page":"1785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9894999861717224,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9821000099182129,"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/computer-science","display_name":"Computer science","score":0.7303512692451477},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5279399752616882},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5255186557769775},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.47615763545036316},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.41182634234428406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3470023274421692},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21464866399765015}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303512692451477},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5279399752616882},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5255186557769775},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.47615763545036316},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.41182634234428406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3470023274421692},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21464866399765015},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnet.2021.3075430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2021.3075430","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1060121603","display_name":null,"funder_award_id":"CNS-SpecEES-1824337","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2379327423","display_name":null,"funder_award_id":"HDTRA1-15-1-0003","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G3020841490","display_name":null,"funder_award_id":"HDTRA1-18-1-0050","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G3405165046","display_name":null,"funder_award_id":"N00014-19-1-2621","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G4500825157","display_name":null,"funder_award_id":"CNS-NeTS-2007231","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7136181975","display_name":null,"funder_award_id":"CNS-NeTS-1717045","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7340397932","display_name":null,"funder_award_id":"CMMI-SMOR-1562065","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8682229216","display_name":null,"funder_award_id":"CNS-ICN-WEN-1719371","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G923841940","display_name":null,"funder_award_id":"CNS-NeTS-1514260","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"},{"id":"https://openalex.org/F4320332186","display_name":"Defense Threat Reduction Agency","ror":"https://ror.org/04tz64554"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1512602432","https://openalex.org/W1525038591","https://openalex.org/W1541280084","https://openalex.org/W1556911442","https://openalex.org/W1967647772","https://openalex.org/W2004215803","https://openalex.org/W2005530146","https://openalex.org/W2048619613","https://openalex.org/W2071007674","https://openalex.org/W2073545563","https://openalex.org/W2092580500","https://openalex.org/W2099111195","https://openalex.org/W2112620321","https://openalex.org/W2118388899","https://openalex.org/W2131369712","https://openalex.org/W2134964128","https://openalex.org/W2155068963","https://openalex.org/W2163599171","https://openalex.org/W2609703245","https://openalex.org/W2749723675","https://openalex.org/W2784273995","https://openalex.org/W2892348682","https://openalex.org/W3017652510","https://openalex.org/W3049023288","https://openalex.org/W3133603318","https://openalex.org/W3190595840","https://openalex.org/W6736680782","https://openalex.org/W6776384070"],"related_works":["https://openalex.org/W2045155990","https://openalex.org/W4313163053","https://openalex.org/W3045811229","https://openalex.org/W4300973204","https://openalex.org/W1483408780","https://openalex.org/W4388675521","https://openalex.org/W2108135022","https://openalex.org/W3148810651","https://openalex.org/W2898772359","https://openalex.org/W4379924946"],"abstract_inverted_index":{"We":[0,106],"consider":[1],"an":[2,26],"information":[3,92,247],"network":[4,159],"comprised":[5],"of":[6,53,57,69,86,136,157,178,191,200,232,245],"nodes":[7,234],"that":[8,19,108,138,163,195,213],"are:":[9],"rational-information-consumers":[10],"(RICs)":[11],"and/or":[12],"biased-information-providers":[13],"(BIPs).":[14],"Making":[15],"the":[16,54,70,84,103,134,143,158,201,206,220,230,243],"reasonable":[17],"abstraction":[18],"any":[20],"external":[21],"event":[22,55],"is":[23,186],"reported":[24],"as":[25,38],"answer":[27],"to":[28,109,167,204],"a":[29,39,64,97,117,183,192,211],"logical":[30],"statement,":[31],"we":[32,94,125,161],"model":[33],"each":[34],"node's":[35],"information-sharing":[36],"behavior":[37],"binary":[40],"channel.":[41],"For":[42],"various":[43],"reasons,":[44],"malicious":[45],"or":[46,75],"otherwise,":[47],"BIPs":[48,172,190,228],"might":[49,66,241],"share":[50],"incorrect":[51],"reports":[52],"regardless":[56],"their":[58,171,179],"private":[59],"beliefs.":[60],"In":[61,122],"doing":[62],"so,":[63],"BIP":[65],"favor":[67],"one":[68],"two":[71],"outcomes,":[72],"exhibiting":[73],"intentional":[74],"unintentional":[76],"bias":[77],"(e.g.":[78],"human":[79],"cognitive":[80],"biases).":[81],"Inspired":[82],"by":[83,210],"limitations":[85],"humans":[87],"and":[88],"low-memory":[89],"devices":[90],"in":[91,101],"networks,":[93],"previously":[95],"investigated":[96],"graph-blind":[98,114,168],"rational-information-consumer":[99],"interested":[100],"identifying":[102],"ground":[104],"truth.":[105],"concluded":[107],"minimize":[110],"its":[111,198,236],"error":[112,208],"probability,":[113],"RIC":[115,196],"follows":[116],"counter-intuitive":[118],"but":[119],"tractable":[120],"rule.":[121],"this":[123,128],"work,":[124],"build":[126],"on":[127],"foundational":[129],"knowledge:":[130],"\u201cgraph-blind":[131],"RICs":[132,153,169],"prefer":[133],"combination":[135],"information-providers":[137,177],"are":[139],"all":[140,148,188],"fully-biased":[141],"against":[142],"a-priori":[144],"likely":[145],"input,":[146],"over":[147],"other":[149],"combinations.\u201d":[150],"Upon":[151],"studying":[152],"with":[154,216],"partial":[155],"knowledge":[156],"graph,":[160],"find":[162],"they":[164],"act":[165],"similar":[166],"when":[170],"\u201clisten":[173],"to\u201d":[174],"sufficiently":[175],"many":[176],"own.":[180],"Furthermore,":[181],"if":[182],"common":[184],"node":[185],"informing/influencing":[187],"n":[189,225],"partially-aware":[193,221],"RIC,":[194],"anticipates":[197],"discovery":[199,231],"\u201cinfluential":[202],"node\u201d":[203],"diminish":[205],"average":[207],"probability":[209],"factor":[212],"increases":[214],"exponentially":[215],"n.":[217],"However,":[218],"from":[219],"RIC's":[222],"perspective,":[223],"choosing":[224],"fully-,":[226],"similarly-biased":[227],"outweighs":[229],"influential":[233],"among":[235],"BIPs'":[237],"sources.":[238],"These":[239],"insights":[240],"inform":[242],"design":[244],"consumer-centric":[246],"networks.":[248]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
