{"id":"https://openalex.org/W4281771184","doi":"https://doi.org/10.1109/noms54207.2022.9789837","title":"Exploiting Functional Connectivity Inference for Efficient Root Cause Analysis","display_name":"Exploiting Functional Connectivity Inference for Efficient Root Cause Analysis","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4281771184","doi":"https://doi.org/10.1109/noms54207.2022.9789837"},"language":"en","primary_location":{"id":"doi:10.1109/noms54207.2022.9789837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms54207.2022.9789837","pdf_url":null,"source":{"id":"https://openalex.org/S4363605650","display_name":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Exploiting_functional_connectivity_inference_for_efficient_root_cause_analysis/23308760","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041407579","display_name":"Giles Winchester","orcid":"https://orcid.org/0000-0002-5928-228X"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Giles Winchester","raw_affiliation_strings":["University of Sussex,Department of Informatics,Brighton,UK","Department of Informatics, University of Sussex, Brighton, UK"],"affiliations":[{"raw_affiliation_string":"University of Sussex,Department of Informatics,Brighton,UK","institution_ids":["https://openalex.org/I162608824"]},{"raw_affiliation_string":"Department of Informatics, University of Sussex, Brighton, UK","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042777423","display_name":"George Parisis","orcid":"https://orcid.org/0000-0002-1298-7143"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"George Parisis","raw_affiliation_strings":["University of Sussex,Department of Informatics,Brighton,UK","Department of Informatics, University of Sussex, Brighton, UK"],"affiliations":[{"raw_affiliation_string":"University of Sussex,Department of Informatics,Brighton,UK","institution_ids":["https://openalex.org/I162608824"]},{"raw_affiliation_string":"Department of Informatics, University of Sussex, Brighton, UK","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070655016","display_name":"Luc Berthouze","orcid":"https://orcid.org/0000-0003-3774-2369"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Luc Berthouze","raw_affiliation_strings":["University of Sussex,Department of Informatics,Brighton,UK","Department of Informatics, University of Sussex, Brighton, UK"],"affiliations":[{"raw_affiliation_string":"University of Sussex,Department of Informatics,Brighton,UK","institution_ids":["https://openalex.org/I162608824"]},{"raw_affiliation_string":"Department of Informatics, University of Sussex, Brighton, UK","institution_ids":["https://openalex.org/I162608824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041407579"],"corresponding_institution_ids":["https://openalex.org/I162608824"],"apc_list":null,"apc_paid":null,"fwci":0.6443,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55969014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9994999766349792,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9279000163078308,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9038000106811523,"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":0.784440815448761},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.7763683795928955},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7382133603096008},{"id":"https://openalex.org/keywords/root-cause","display_name":"Root cause","score":0.7060447335243225},{"id":"https://openalex.org/keywords/root","display_name":"Root (linguistics)","score":0.6062198281288147},{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"Root cause analysis","score":0.602025032043457},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5634326338768005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4715298116207123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46126845479011536},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4592336118221283},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4133709967136383},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3830544948577881},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3774741291999817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1060105562210083},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.10229861736297607},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09565529227256775},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.08539548516273499},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.08165004849433899}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784440815448761},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.7763683795928955},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7382133603096008},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.7060447335243225},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.6062198281288147},{"id":"https://openalex.org/C130963320","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Root cause analysis","level":2,"score":0.602025032043457},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5634326338768005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4715298116207123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46126845479011536},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4592336118221283},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4133709967136383},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3830544948577881},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3774741291999817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1060105562210083},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.10229861736297607},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09565529227256775},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.08539548516273499},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.08165004849433899},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/noms54207.2022.9789837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms54207.2022.9789837","pdf_url":null,"source":{"id":"https://openalex.org/S4363605650","display_name":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/23308760","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Exploiting_functional_connectivity_inference_for_efficient_root_cause_analysis/23308760","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:sro.sussex.ac.uk:104881","is_oa":false,"landing_page_url":"http://sro.sussex.ac.uk/id/eprint/104881/3/NOMS2022Accpt.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400129","display_name":"Sussex Research Online (University of Sussex)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162608824","host_organization_name":"University of Sussex","host_organization_lineage":["https://openalex.org/I162608824"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/23308760","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Exploiting_functional_connectivity_inference_for_efficient_root_cause_analysis/23308760","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1692425423","https://openalex.org/W1975062332","https://openalex.org/W2061564920","https://openalex.org/W2132507555","https://openalex.org/W2400086527","https://openalex.org/W2767094836","https://openalex.org/W2771013155","https://openalex.org/W2800972450","https://openalex.org/W2896963046","https://openalex.org/W2940245500","https://openalex.org/W2965044705","https://openalex.org/W2973084513","https://openalex.org/W3006419771","https://openalex.org/W3009461656","https://openalex.org/W3047380811","https://openalex.org/W3092101352","https://openalex.org/W3099485568","https://openalex.org/W3201053769","https://openalex.org/W3202634766","https://openalex.org/W3214130155","https://openalex.org/W6679853467","https://openalex.org/W6683167872","https://openalex.org/W6712573394","https://openalex.org/W6761436443","https://openalex.org/W6802056780"],"related_works":["https://openalex.org/W2030594396","https://openalex.org/W2535098331","https://openalex.org/W2202104725","https://openalex.org/W4255366506","https://openalex.org/W2056250485","https://openalex.org/W4280640835","https://openalex.org/W2885334669","https://openalex.org/W2111856191","https://openalex.org/W4230518569","https://openalex.org/W4230900947"],"abstract_inverted_index":{"A":[0],"crucial":[1],"step":[2],"in":[3,98,105],"remedying":[4],"faults":[5],"within":[6],"network":[7],"infrastructure":[8],"is":[9],"to":[10,45,65],"determine":[11],"their":[12,38,46],"root":[13,26],"cause.":[14],"However,":[15],"the":[16,60,67],"large-scale,":[17],"complex":[18],"and":[19],"dynamic":[20],"nature":[21],"of":[22,62,70,100,102],"modern":[23],"architecture":[24],"makes":[25],"cause":[27],"analysis":[28],"challenging.":[29],"Statistical":[30],"approaches":[31],"for":[32,58],"causal":[33,71,90,103],"inference":[34,72],"are":[35],"promising,":[36],"however,":[37],"deployment":[39],"has":[40],"been":[41],"historically":[42],"limited":[43],"due":[44],"high":[47],"time":[48],"complexity.":[49],"In":[50],"this":[51],"paper":[52],"we":[53],"propose":[54],"a":[55,95],"general":[56],"framework":[57],"leveraging":[59],"concept":[61],"functional":[63],"connectivity":[64],"reduce":[66],"computational":[68],"overhead":[69],"algorithms.":[73],"We":[74],"demonstrate":[75],"on":[76],"synthetic":[77],"data":[78],"that":[79],"our":[80],"approach":[81],"can":[82],"achieve":[83],"substantial":[84],"speedups":[85],"when":[86],"combined":[87],"with":[88,93],"state-of-the-art":[89],"discovery":[91],"algorithms,":[92],"only":[94],"small":[96],"cost":[97],"terms":[99],"loss":[101],"information":[104],"some":[106],"cases.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}