{"id":"https://openalex.org/W2914306517","doi":"https://doi.org/10.1109/cdc.2018.8619840","title":"Identification of Dynamical Strictly Causal Networks","display_name":"Identification of Dynamical Strictly Causal Networks","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914306517","doi":"https://doi.org/10.1109/cdc.2018.8619840","mag":"2914306517"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2018.8619840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2018.8619840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Decision and Control (CDC)","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/A5023142598","display_name":"Sina Jahandari","orcid":"https://orcid.org/0000-0001-9458-8551"},"institutions":[{"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":"Sina Jahandari","raw_affiliation_strings":["Electrical Engineering and Computer Science department, University of Tennessee, Knoxville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science department, University of Tennessee, Knoxville, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058663513","display_name":"Donatello Materassi","orcid":"https://orcid.org/0000-0002-4736-8377"},"institutions":[{"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":["Faculty of the Electrical Engineering, University of Tennessee, Knoxville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of the Electrical Engineering, University of Tennessee, Knoxville, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75027704"],"apc_list":null,"apc_paid":null,"fwci":0.2082,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55075286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"4739","last_page":"4744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976999759674072,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9968000054359436,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/causality","display_name":"Causality (physics)","score":0.6516512632369995},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.6163981556892395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5961323976516724},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5524477362632751},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.4969227612018585},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4743070602416992},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.47305408120155334},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.46347910165786743},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4329760670661926},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.4257134199142456},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4220495820045471},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.41653889417648315},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4115450084209442},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37000441551208496},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3369910717010498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3156896233558655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27183517813682556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21925684809684753}],"concepts":[{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.6516512632369995},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6163981556892395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5961323976516724},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5524477362632751},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.4969227612018585},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4743070602416992},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.47305408120155334},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.46347910165786743},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4329760670661926},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.4257134199142456},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4220495820045471},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.41653889417648315},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4115450084209442},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37000441551208496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3369910717010498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3156896233558655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27183517813682556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21925684809684753},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2018.8619840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2018.8619840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1487588218","https://openalex.org/W1983778638","https://openalex.org/W2002976912","https://openalex.org/W2027404064","https://openalex.org/W2052798235","https://openalex.org/W2061849527","https://openalex.org/W2081647150","https://openalex.org/W2135780853","https://openalex.org/W2138185577","https://openalex.org/W2158698691","https://openalex.org/W2171853113","https://openalex.org/W2289917018","https://openalex.org/W2568130122","https://openalex.org/W2734848828","https://openalex.org/W2790973350","https://openalex.org/W2897715342","https://openalex.org/W2963250855","https://openalex.org/W2963338932","https://openalex.org/W6629357744"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W126301054","https://openalex.org/W4300044672","https://openalex.org/W2035792466","https://openalex.org/W2977645287","https://openalex.org/W4251418261","https://openalex.org/W1972675643","https://openalex.org/W2154758532"],"abstract_inverted_index":{"The":[0,45],"paper":[1],"presents":[2],"a":[3,15,28,99,108,121,135],"methodology":[4],"for":[5,84],"identifying":[6],"the":[7,49,93,96,117,125,132,157,161,173],"topology":[8,118],"of":[9,18,42,51,66,79,95,98,163,172],"strictly":[10,58],"causal":[11,59],"dynamical":[12,20,60],"networks.":[13],"Using":[14],"graph-theoretic":[16],"representation":[17],"interconnected":[19],"systems,":[21],"each":[22],"node":[23],"is":[24,33,69],"assumed":[25,55],"to":[26,56,155],"be":[27,57],"stochastic":[29,38],"process":[30],"whose":[31],"output":[32],"influenced":[34],"by":[35],"an":[36,63],"independent":[37],"noise":[39],"and":[40,104,140,152,176],"outputs":[41],"other":[43,52,177],"nodes.":[44],"links,":[46],"which":[47],"represent":[48],"influence":[50],"nodes,":[53],"are":[54,77,89],"filters.":[61],"When":[62],"invasive":[64],"number":[65],"measured":[67],"data":[68],"available,":[70],"reconstruction":[71],"techniques":[72,179],"based":[73,111,145],"on":[74,112,146],"Granger":[75,174],"causality":[76,175],"capable":[78],"tackling":[80],"this":[81,164],"problem,":[82],"however,":[83],"very":[85],"large":[86],"networks":[87],"they":[88],"rendered":[90],"impractical.":[91],"Under":[92],"assumption":[94],"sparsity":[97],"complex":[100],"network":[101],"including":[102],"feedback":[103],"self-loops,":[105],"we":[106,130,166],"propose":[107,141],"consistent":[109],"algorithm":[110,144],"cycling":[113],"least-squares":[114],"that":[115],"unveils":[116],"without":[119],"any":[120],"priori":[122],"knowledge":[123],"about":[124],"structure.":[126],"For":[127],"non-invasive":[128],"measurements,":[129],"cast":[131],"problem":[133],"as":[134],"structured":[136],"sparse":[137],"signal":[138],"recovery":[139],"another":[142],"data-driven":[143],"ideas":[147],"borrowed":[148],"from":[149],"compressive":[150],"sensing":[151],"matching":[153],"pursuit":[154],"identify":[156],"network.":[158],"To":[159],"show":[160],"superiority":[162],"method":[165],"compare":[167],"its":[168],"performance":[169],"with":[170],"those":[171],"state-of-the-art":[178],"through":[180],"Monte-Carlo":[181],"simulations.":[182]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
