{"id":"https://openalex.org/W2001667451","doi":"https://doi.org/10.1109/tac.2012.2183170","title":"On the Problem of Reconstructing an Unknown Topology via Locality Properties of the Wiener Filter","display_name":"On the Problem of Reconstructing an Unknown Topology via Locality Properties of the Wiener Filter","publication_year":2012,"publication_date":"2012-01-06","ids":{"openalex":"https://openalex.org/W2001667451","doi":"https://doi.org/10.1109/tac.2012.2183170","mag":"2001667451"},"language":"en","primary_location":{"id":"doi:10.1109/tac.2012.2183170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2012.2183170","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Transactions on Automatic Control","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/A5058663513","display_name":"Donatello Materassi","orcid":"https://orcid.org/0000-0002-4736-8377"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donatello Materassi","raw_affiliation_strings":["Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069864205","display_name":"Murti V. Salapaka","orcid":"https://orcid.org/0000-0002-4595-9683"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murti V. Salapaka","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.072,"has_fulltext":false,"cited_by_count":162,"citation_normalized_percentile":{"value":0.96852288,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"57","issue":"7","first_page":"1765","last_page":"1777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9905999898910522,"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":0.9905999898910522,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/spurious-relationship","display_name":"Spurious relationship","score":0.8562346696853638},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.611201822757721},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.518909752368927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5118871927261353},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.48450323939323425},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46040427684783936},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4570919871330261},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45076310634613037},{"id":"https://openalex.org/keywords/lti-system-theory","display_name":"LTI system theory","score":0.42226848006248474},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4201766848564148},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4011509120464325},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.3492988348007202},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22868680953979492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1586569845676422}],"concepts":[{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.8562346696853638},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.611201822757721},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.518909752368927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5118871927261353},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.48450323939323425},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46040427684783936},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4570919871330261},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45076310634613037},{"id":"https://openalex.org/C87698059","wikidata":"https://www.wikidata.org/wiki/Q1808960","display_name":"LTI system theory","level":3,"score":0.42226848006248474},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4201766848564148},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4011509120464325},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.3492988348007202},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22868680953979492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1586569845676422},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tac.2012.2183170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2012.2183170","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Transactions on Automatic Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1487588218","https://openalex.org/W1509685104","https://openalex.org/W1534416612","https://openalex.org/W1650795856","https://openalex.org/W1684305122","https://openalex.org/W1971421925","https://openalex.org/W1982344744","https://openalex.org/W1989834307","https://openalex.org/W1990262300","https://openalex.org/W1996599261","https://openalex.org/W2002976912","https://openalex.org/W2011293069","https://openalex.org/W2018045523","https://openalex.org/W2022704310","https://openalex.org/W2027624514","https://openalex.org/W2048843578","https://openalex.org/W2049817674","https://openalex.org/W2061849527","https://openalex.org/W2070575255","https://openalex.org/W2070722739","https://openalex.org/W2081647150","https://openalex.org/W2090465694","https://openalex.org/W2095293504","https://openalex.org/W2096023955","https://openalex.org/W2101567517","https://openalex.org/W2107861471","https://openalex.org/W2108970807","https://openalex.org/W2112804935","https://openalex.org/W2115360427","https://openalex.org/W2123993001","https://openalex.org/W2129131372","https://openalex.org/W2131634726","https://openalex.org/W2133280087","https://openalex.org/W2136913207","https://openalex.org/W2137006204","https://openalex.org/W2144731007","https://openalex.org/W2146890818","https://openalex.org/W2150926065","https://openalex.org/W2153344006","https://openalex.org/W2159080219","https://openalex.org/W2160664735","https://openalex.org/W2166499263","https://openalex.org/W2170830164","https://openalex.org/W2171853113","https://openalex.org/W2178225550","https://openalex.org/W2180478016","https://openalex.org/W2486096428","https://openalex.org/W2798588639","https://openalex.org/W2810891561","https://openalex.org/W3122524226","https://openalex.org/W3124158341","https://openalex.org/W3140973516","https://openalex.org/W4238823463","https://openalex.org/W6629357744"],"related_works":["https://openalex.org/W2053005959","https://openalex.org/W2299538996","https://openalex.org/W2027136373","https://openalex.org/W2144143333","https://openalex.org/W4386631510","https://openalex.org/W2276636510","https://openalex.org/W2105658174","https://openalex.org/W3163145068","https://openalex.org/W1990421243","https://openalex.org/W776139355"],"abstract_inverted_index":{"Determining":[0],"interrelatedness":[1,70,93],"structure":[2,22,94,187,211,255],"of":[3,12,19,32,36,44,95,109,134,145,164,179,183,218,243,252,278,293],"various":[4,189],"entities":[5],"from":[6],"multiple":[7],"time":[8,61,73,81,98,128,147,159,166],"series":[9,62,74,82,99,129,148,160],"data":[10,63,100,130],"is":[11,101,120,124,131,152,169,174,191,194,202,224,236,288],"significant":[13,282],"interest":[14],"to":[15,154,204,238,261,324],"many":[16],"areas.":[17],"Knowledge":[18],"such":[20],"a":[21,56,88,141,165,170,233,244,304],"can":[23,212],"aid":[24],"in":[25,111,176,290,297,313],"identifying":[26,91,219],"cause":[27],"and":[28,39,64,140],"effect":[29],"relationships,":[30],"clustering":[31],"similar":[33],"entities,":[34],"identification":[35],"representative":[37],"elements":[38],"model":[40,119],"reduction.":[41],"The":[42,266],"majority":[43],"existing":[45],"results":[46],"are":[47,65,75,259,264,274],"based":[48,51,275,307],"on":[49,276,308],"correlation":[50],"indices":[52],"which":[53,168],"effectively":[54],"assume":[55],"static":[57],"relationship":[58],"between":[59,157],"the":[60,72,80,92,107,112,132,162,177,180,184,198,209,216,227,253,257,271,286,291,298,300,314,317,325],"not":[66],"suitable":[67],"for":[68,90,106,249,269],"detecting":[69],"when":[71,79,197,256],"dynamically":[76,96,142],"related":[77,97],"or":[78],"involve":[83],"loops.":[84],"In":[85],"this":[86],"paper,":[87,299],"methodology":[89],"presented":[102,121],"that":[103,126,196,226,316],"also":[104],"allows":[105],"presence":[108],"loops":[110],"connectivity":[113,186],"structure.":[114],"A":[115,150,281],"linear":[116,171,199],"dynamic":[117,200],"graph":[118,201],"where":[122],"it":[123,223],"assumed":[125,153],"each":[127],"sum":[133,144],"an":[135],"independent":[136],"stochastic":[137,305],"noise":[138],"source":[139],"weighted":[143],"other":[146,309],"data.":[149],"link":[151,185,235,254],"be":[155,213,239,262],"present":[156],"two":[158],"if":[161],"weight":[163],"series,":[167],"time-invariant":[172],"filter,":[173],"nonzero":[175],"formation":[178],"other.":[181],"Reconstruction":[182],"under":[188],"scenarios":[190],"considered.":[192],"It":[193],"shown":[195,225],"allowed":[203],"admit":[205],"non-causal":[206],"weights,":[207],"then":[208],"links":[210,229],"recovered":[214],"with":[215],"possibility":[217],"spurious":[220,228,234],"connections.":[221],"However,":[222],"remain":[230],"local,":[231],"where,":[232],"restricted":[237,260],"within":[240],"one":[241],"hop":[242],"true":[245],"link.":[246],"Furthermore,":[247],"strategies":[248],"exact":[250],"reconstruction":[251],"weights":[258],"causal":[263],"developed.":[265],"main":[267],"tools":[268],"determining":[270],"network":[272,294],"topology":[273],"variations":[277],"Wiener":[279,301,318],"filtering.":[280],"insight":[283],"provided":[284],"by":[285],"article":[287],"that,":[289],"class":[292],"models":[295],"considered":[296],"filter":[302,319],"estimating":[303],"process":[306],"processes":[310],"remains":[311],"local":[312,323],"sense":[315],"utilizes":[320],"only":[321],"measurements":[322],"node":[326],"being":[327],"estimated.":[328]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":5}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}
