{"id":"https://openalex.org/W2764224016","doi":"https://doi.org/10.1109/cdc.2017.8264533","title":"Learning the exact topology of undirected consensus networks","display_name":"Learning the exact topology of undirected consensus networks","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2764224016","doi":"https://doi.org/10.1109/cdc.2017.8264533","mag":"2764224016"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2017.8264533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2017.8264533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 56th Annual Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1710.00032","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017359031","display_name":"Saurav Talukdar","orcid":"https://orcid.org/0000-0002-8651-287X"},"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":"Saurav Talukdar","raw_affiliation_strings":["Department of Mechanical Engineering, University of Minnesota, Minneapolis, USA","Department of Mechanical Engineering, University of Minnesota, Minneapolis , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of Minnesota, Minneapolis , USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086678567","display_name":"Deepjyoti Deka","orcid":"https://orcid.org/0000-0003-3928-3936"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepjyoti Deka","raw_affiliation_strings":["Theory Division, Los Alamos National Laboratory, Los Alamos, USA","[Theory Division, Los Alamos National Laboratory, Los Alamos, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Theory Division, Los Alamos National Laboratory, Los Alamos, USA","institution_ids":["https://openalex.org/I1343871089"]},{"raw_affiliation_string":"[Theory Division, Los Alamos National Laboratory, Los Alamos, USA]","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052074105","display_name":"Sandeep Attree","orcid":"https://orcid.org/0000-0002-9670-2175"},"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":"Sandeep Attree","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, USA","Department of Electrical and Computer Engineering University of Minnesota, Minneapolis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058663513","display_name":"Donatello Materassi","orcid":"https://orcid.org/0000-0002-4736-8377"},"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"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donatello Materassi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, USA","Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"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"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murti Salapaka","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA","Department of Electrical and Computer Engineering University of Minnesota, Minneapolis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"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":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1481742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"67","issue":null,"first_page":"5784","last_page":"5789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9957000017166138,"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":0.9957000017166138,"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/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.993399977684021,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.8062986731529236},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.6889423131942749},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.6435056328773499},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5756054520606995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5485996007919312},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.4654470384120941},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4592997133731842},{"id":"https://openalex.org/keywords/consensus","display_name":"Consensus","score":0.43408453464508057},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42341238260269165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3653343915939331},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2894360423088074},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.2567741274833679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20682993531227112},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14164242148399353},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1024678647518158},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07085046172142029}],"concepts":[{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.8062986731529236},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.6889423131942749},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6435056328773499},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5756054520606995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5485996007919312},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.4654470384120941},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4592997133731842},{"id":"https://openalex.org/C107107730","wikidata":"https://www.wikidata.org/wiki/Q2994424","display_name":"Consensus","level":3,"score":0.43408453464508057},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42341238260269165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3653343915939331},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2894360423088074},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.2567741274833679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20682993531227112},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14164242148399353},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1024678647518158},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07085046172142029},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/cdc.2017.8264533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2017.8264533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 56th Annual Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1710.00032","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.00032","pdf_url":"https://arxiv.org/pdf/1710.00032","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:arXiv.org:1710.00032","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1710.00032","pdf_url":"https://arxiv.org/pdf/1710.00032","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2764224016","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1710.00032","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1710.00032","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1710.00032","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1710.00032","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.00032","pdf_url":"https://arxiv.org/pdf/1710.00032","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332276","display_name":"Advanced Research Projects Agency - Energy","ror":"https://ror.org/03q1rgc19"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320333916","display_name":"Office of Electricity","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2764224016.pdf","grobid_xml":"https://content.openalex.org/works/W2764224016.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1584270973","https://openalex.org/W1978282180","https://openalex.org/W1981391292","https://openalex.org/W1987717935","https://openalex.org/W1991631960","https://openalex.org/W2001667451","https://openalex.org/W2033869127","https://openalex.org/W2058533888","https://openalex.org/W2074796812","https://openalex.org/W2081428066","https://openalex.org/W2105850748","https://openalex.org/W2109434613","https://openalex.org/W2131634726","https://openalex.org/W2132555912","https://openalex.org/W2151685478","https://openalex.org/W2155356457","https://openalex.org/W2568202645","https://openalex.org/W2577670073","https://openalex.org/W2592869444","https://openalex.org/W2962855733","https://openalex.org/W2963590230","https://openalex.org/W2963686183","https://openalex.org/W2963892729","https://openalex.org/W4295679937","https://openalex.org/W6740581609","https://openalex.org/W6743541359"],"related_works":["https://openalex.org/W2289612697","https://openalex.org/W2621945318","https://openalex.org/W2159274711","https://openalex.org/W3150259004","https://openalex.org/W2124621741","https://openalex.org/W2139117707","https://openalex.org/W1539500786","https://openalex.org/W2920948375","https://openalex.org/W2061129439","https://openalex.org/W3182548689","https://openalex.org/W2031751253","https://openalex.org/W3019798378","https://openalex.org/W1965611750","https://openalex.org/W1999288870","https://openalex.org/W2040396687","https://openalex.org/W3011350935","https://openalex.org/W2211546773","https://openalex.org/W2897539529","https://openalex.org/W2807578726","https://openalex.org/W3098121957"],"abstract_inverted_index":{"In":[0],"this":[1,53,121],"article,":[2],"we":[3],"present":[4],"a":[5,13,22,154],"method":[6,94,144],"to":[7,37,56],"learn":[8],"the":[9,43,47,60,80,84,89,101,104,116,123,129,140,143],"interaction":[10,86],"topology":[11,87],"of":[12,15,52,62,79,88,100,103,112,118,131,142,158],"network":[14,157],"agents":[16,90,105],"undergoing":[17],"linear":[18],"consensus":[19,64,133],"updates":[20],"in":[21,46,59],"non":[23],"invasive":[24],"manner.":[25],"Our":[26],"approach":[27,125],"is":[28,35,55,91,122],"based":[29],"on":[30,153],"multivariate":[31],"Wiener":[32,71,81],"filtering,":[33],"which":[34],"known":[36],"recover":[38],"spurious":[39,67],"edges":[40,45],"apart":[41],"from":[42],"true":[44],"topology.":[48],"The":[49,93],"main":[50],"contribution":[51],"work":[54],"show":[57],"that":[58,126],"case":[61],"undirected":[63,132],"networks,":[65],"all":[66],"links":[68],"obtained":[69],"using":[70,76],"filtering":[72],"can":[73],"be":[74],"identified":[75],"frequency":[77],"response":[78],"filters.":[82],"Thus,":[83],"exact":[85],"unveiled.":[92],"presented":[95],"requires":[96],"time":[97],"series":[98],"measurements":[99],"state":[102],"and":[106],"does":[107],"not":[108],"require":[109],"any":[110],"knowledge":[111,120],"link":[113],"weights.":[114],"To":[115],"best":[117],"our":[119],"first":[124],"provably":[127],"reconstructs":[128],"structure":[130],"networks":[134],"with":[135],"correlated":[136],"noise.":[137],"We":[138],"illustrate":[139],"effectiveness":[141],"developed":[145],"through":[146],"numerical":[147],"simulations":[148],"as":[149,151],"well":[150],"experiments":[152],"five":[155],"node":[156],"Raspberry":[159],"Pis.":[160]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}