{"id":"https://openalex.org/W3163982724","doi":"https://doi.org/10.1007/s43926-021-00011-w","title":"Bayesian Topology Learning and noise removal from network data","display_name":"Bayesian Topology Learning and noise removal from network data","publication_year":2021,"publication_date":"2021-03-19","ids":{"openalex":"https://openalex.org/W3163982724","doi":"https://doi.org/10.1007/s43926-021-00011-w","mag":"3163982724"},"language":"en","primary_location":{"id":"doi:10.1007/s43926-021-00011-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-021-00011-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s43926-021-00011-w.pdf","source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s43926-021-00011-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089814537","display_name":"Mahmoud Ramezani Mayiami","orcid":null},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Mahmoud Ramezani Mayiami","raw_affiliation_strings":["Department of ICT, University of Agder, Grimstad, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ICT, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010619757","display_name":"Mohammad Hajimirsadeghi","orcid":"https://orcid.org/0000-0002-4040-6254"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Hajimirsadeghi","raw_affiliation_strings":["Department of ECE, Lehigh University, Bethlehem, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, Lehigh University, Bethlehem, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061078022","display_name":"Karl Skretting","orcid":"https://orcid.org/0000-0001-9253-1922"},"institutions":[{"id":"https://openalex.org/I92008406","display_name":"University of Stavanger","ror":"https://ror.org/02qte9q33","country_code":"NO","type":"education","lineage":["https://openalex.org/I92008406"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Karl Skretting","raw_affiliation_strings":["Department of EECS, University of Stavanger, Stavanger, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EECS, University of Stavanger, Stavanger, Norway","institution_ids":["https://openalex.org/I92008406"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101579932","display_name":"Xiaowen Dong","orcid":"https://orcid.org/0000-0002-1143-9786"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaowen Dong","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042577942","display_name":"Rick S. Blum","orcid":"https://orcid.org/0000-0002-1024-6771"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rick S. Blum","raw_affiliation_strings":["Department of ECE, Lehigh University, Bethlehem, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, Lehigh University, Bethlehem, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089814537"],"corresponding_institution_ids":["https://openalex.org/I200650556"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":1.5391,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85867202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"1","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"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":0.9973000288009644,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6686303615570068},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48820358514785767},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4526687264442444},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4315722584724426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4053163230419159},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.36361050605773926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32940730452537537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19308990240097046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686303615570068},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48820358514785767},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4526687264442444},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4315722584724426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4053163230419159},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.36361050605773926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32940730452537537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19308990240097046},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s43926-021-00011-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-021-00011-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s43926-021-00011-w.pdf","source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s43926-021-00011-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-021-00011-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s43926-021-00011-w.pdf","source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1699582372","display_name":null,"funder_award_id":"W911NF-17-1-0331","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G2322711205","display_name":"AMPS:  Collaborative Research:  Analysis of Local Power Grid Properties: From Network Motifs to Tensors","funder_award_id":"1736417","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2827571691","display_name":null,"funder_award_id":"DMS-1736417","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3381493924","display_name":"EAGER: Collaborative Research: Local Topological Properties of Power Flow Networks, and Their Role in Power System Functionality","funder_award_id":"1824710","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3980066366","display_name":null,"funder_award_id":"ECCS-1824710","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5259331294","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G5504711424","display_name":"WiFiUS: Collaborative Research: Secure Inference in the Internet of Things","funder_award_id":"1702555","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6344673470","display_name":null,"funder_award_id":"W911NF-17-1-0331","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G6560522911","display_name":null,"funder_award_id":"CNS-1702555","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6988108613","display_name":null,"funder_award_id":"ECCS-1744129","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8056444969","display_name":null,"funder_award_id":"ECCS-1744129","funder_id":"https://openalex.org/F4320337392","funder_display_name":"Division of Electrical, Communications and Cyber Systems"},{"id":"https://openalex.org/G8517630293","display_name":"Eager: Cyberattacks on Commercial IoT Networks Estimating Large Dimension Parameters for Big Data","funder_award_id":"1744129","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/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3163982724.pdf","grobid_xml":"https://content.openalex.org/works/W3163982724.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1490480470","https://openalex.org/W1495344897","https://openalex.org/W1497214886","https://openalex.org/W1525535255","https://openalex.org/W1532325895","https://openalex.org/W1584308190","https://openalex.org/W1953936588","https://openalex.org/W1981276685","https://openalex.org/W1983058494","https://openalex.org/W1986941254","https://openalex.org/W2016926874","https://openalex.org/W2053959501","https://openalex.org/W2062978452","https://openalex.org/W2068000292","https://openalex.org/W2075567596","https://openalex.org/W2078204079","https://openalex.org/W2081746825","https://openalex.org/W2099111195","https://openalex.org/W2101491865","https://openalex.org/W2112856361","https://openalex.org/W2113191728","https://openalex.org/W2116641053","https://openalex.org/W2132555912","https://openalex.org/W2136562407","https://openalex.org/W2137096596","https://openalex.org/W2151128232","https://openalex.org/W2152632381","https://openalex.org/W2188004715","https://openalex.org/W2210387432","https://openalex.org/W2225667838","https://openalex.org/W2296319761","https://openalex.org/W2329457872","https://openalex.org/W2341234495","https://openalex.org/W2389980101","https://openalex.org/W2399508263","https://openalex.org/W2463327569","https://openalex.org/W2517949381","https://openalex.org/W2520179645","https://openalex.org/W2536620281","https://openalex.org/W2585019672","https://openalex.org/W2615556757","https://openalex.org/W2617467128","https://openalex.org/W2623660146","https://openalex.org/W2643391362","https://openalex.org/W2766352337","https://openalex.org/W2786207045","https://openalex.org/W2789969078","https://openalex.org/W2790994798","https://openalex.org/W2796431263","https://openalex.org/W2797181071","https://openalex.org/W2798585159","https://openalex.org/W2806008205","https://openalex.org/W2913535645","https://openalex.org/W2955614805","https://openalex.org/W2962752727","https://openalex.org/W2962759781","https://openalex.org/W2962886701","https://openalex.org/W2963384510","https://openalex.org/W2963414755","https://openalex.org/W2963702033","https://openalex.org/W2964012239","https://openalex.org/W2964171990","https://openalex.org/W2988390692","https://openalex.org/W2989202690","https://openalex.org/W2994097903","https://openalex.org/W3003810009","https://openalex.org/W3012334351","https://openalex.org/W3100282875","https://openalex.org/W3105663757","https://openalex.org/W3147034027","https://openalex.org/W4206180546","https://openalex.org/W4238253035","https://openalex.org/W4244393449","https://openalex.org/W4250589301","https://openalex.org/W4255461888","https://openalex.org/W4300100448","https://openalex.org/W6629852587","https://openalex.org/W6674851815"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W2544423928","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W2170882281","https://openalex.org/W2053286651","https://openalex.org/W3081478936"],"abstract_inverted_index":{"Abstract":[0],"Learning":[1],"the":[2,53,88,96,101,114,121,131,136,144,153,165,168,173,177],"topology":[3,46,134],"of":[4,11,24,61,167],"a":[5,44,58,73,92,140],"graph":[6,45,55,69,89,103,107,115,133],"from":[7,57,72,117,135],"available":[8],"data":[9,163],"is":[10,49,84,98,109,127],"great":[12],"interest":[13],"in":[14,91,171],"many":[15],"emerging":[16],"applications.":[17],"Some":[18],"examples":[19],"are":[20,66],"social":[21],"networks,":[22,34],"internet":[23],"things":[25],"networks":[26,36],"(intelligent":[27],"IoT":[28],"and":[29,37,161,175],"industrial":[30],"IoT),":[31],"biological":[32],"connection":[33],"sensor":[35],"traffic":[38],"network":[39],"patterns.":[40],"In":[41,120],"this":[42],"paper,":[43],"inference":[47],"approach":[48],"proposed":[50,128,150,169],"to":[51,86,100,112,129,151],"learn":[52,130],"underlying":[54,102,132,178],"structure":[56],"given":[59],"set":[60],"noisy":[62,118],"multi-variate":[63],"observations,":[64],"which":[65],"modeled":[67],"as":[68],"signals":[70,90,116,174],"generated":[71],"Gaussian":[74],"Markov":[75],"Random":[76],"Field":[77],"(GMRF)":[78],"process.":[79],"A":[80],"factor":[81],"analysis":[82],"model":[83],"applied":[85],"represent":[87],"latent":[93],"space":[94],"where":[95],"basis":[97],"related":[99],"structure.":[104],"An":[105],"optimal":[106],"filter":[108],"also":[110],"developed":[111],"recover":[113],"observations.":[119],"final":[122],"step,":[123],"an":[124],"optimization":[125],"problem":[126,154],"recovered":[137],"signals.":[138],"Moreover,":[139],"fast":[141],"algorithm":[142],"employing":[143,158],"proximal":[145],"point":[146],"method":[147,170],"has":[148],"been":[149],"solve":[152],"efficiently.":[155],"Experimental":[156],"results":[157],"both":[159],"synthetic":[160],"real":[162],"show":[164],"effectiveness":[166],"recovering":[172],"inferring":[176],"graph.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}