{"id":"https://openalex.org/W2286519464","doi":"https://doi.org/10.1109/icdmw.2015.128","title":"Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition","display_name":"Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2286519464","doi":"https://doi.org/10.1109/icdmw.2015.128","mag":"2286519464"},"language":"en","primary_location":{"id":"doi:10.1109/icdmw.2015.128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2015.128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Data Mining Workshop (ICDMW)","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/A5091783761","display_name":"Anna Sapienza","orcid":"https://orcid.org/0000-0002-0842-7987"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]},{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Anna Sapienza","raw_affiliation_strings":["Data Science Laboratory, ISI Foundation, Turin, Italy","Polytechnic University of Turin, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Data Science Laboratory, ISI Foundation, Turin, Italy","institution_ids":["https://openalex.org/I134940468"]},{"raw_affiliation_string":"Polytechnic University of Turin, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020199695","display_name":"Andr\u00e9 Panisson","orcid":"https://orcid.org/0000-0002-3336-0374"},"institutions":[{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andre Panisson","raw_affiliation_strings":["Data Science Laboratory, ISI Foundation, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Data Science Laboratory, ISI Foundation, Turin, Italy","institution_ids":["https://openalex.org/I134940468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112048266","display_name":"Joseph Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Joseph Wu","raw_affiliation_strings":["School of Public Health, University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Public Health, University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024396732","display_name":"La\u00ebtitia Gauvin","orcid":"https://orcid.org/0000-0003-3085-8641"},"institutions":[{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Laetitia Gauvin","raw_affiliation_strings":["Data Science Laboratory, ISI Foundation, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Data Science Laboratory, ISI Foundation, Turin, Italy","institution_ids":["https://openalex.org/I134940468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069885186","display_name":"Ciro Cattuto","orcid":"https://orcid.org/0000-0001-9526-4364"},"institutions":[{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ciro Cattuto","raw_affiliation_strings":["Data Science Laboratory, ISI Foundation, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Data Science Laboratory, ISI Foundation, Turin, Italy","institution_ids":["https://openalex.org/I134940468"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091783761"],"corresponding_institution_ids":["https://openalex.org/I134940468","https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":0.5916,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.66162571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"516","last_page":"523"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9930999875068665,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9625999927520752,"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/tensor-decomposition","display_name":"Tensor decomposition","score":0.6375269889831543},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6146122217178345},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5742177963256836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5146947503089905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33580291271209717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2838160991668701},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13766610622406006},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08620628714561462}],"concepts":[{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.6375269889831543},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6146122217178345},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5742177963256836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5146947503089905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33580291271209717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2838160991668701},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13766610622406006},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08620628714561462},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdmw.2015.128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2015.128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Data Mining Workshop (ICDMW)","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/247121","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/247121","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"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_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309723","display_name":"Fondazione CRT","ror":"https://ror.org/00fgmmg43"},{"id":"https://openalex.org/F4320309746","display_name":"Compagnia di San Paolo","ror":"https://ror.org/00d1b1c41"},{"id":"https://openalex.org/F4320318977","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W78534123","https://openalex.org/W1526991336","https://openalex.org/W1559384589","https://openalex.org/W1561391377","https://openalex.org/W1572352401","https://openalex.org/W1647431324","https://openalex.org/W1964274671","https://openalex.org/W1994219736","https://openalex.org/W1995364830","https://openalex.org/W2005941514","https://openalex.org/W2023332207","https://openalex.org/W2024165284","https://openalex.org/W2041326514","https://openalex.org/W2074617510","https://openalex.org/W2085912442","https://openalex.org/W2089554624","https://openalex.org/W2101488630","https://openalex.org/W2131499531","https://openalex.org/W2136997350","https://openalex.org/W2166660524","https://openalex.org/W2175427242","https://openalex.org/W2296404901","https://openalex.org/W2406996709","https://openalex.org/W3037819556","https://openalex.org/W3100117785","https://openalex.org/W3102201777","https://openalex.org/W3150031559","https://openalex.org/W4285719527","https://openalex.org/W6672046268","https://openalex.org/W6675008265","https://openalex.org/W6697674046","https://openalex.org/W7056485990"],"related_works":["https://openalex.org/W4379256054","https://openalex.org/W2093953080","https://openalex.org/W2911706637","https://openalex.org/W47805180","https://openalex.org/W2963838862","https://openalex.org/W3015641590","https://openalex.org/W3216281372","https://openalex.org/W2987657992","https://openalex.org/W2949531434","https://openalex.org/W4286927328"],"abstract_inverted_index":{"New":[0],"data":[1,14,76],"sources":[2],"from":[3,77],"sensor":[4,112],"networks":[5],"and":[6,31,44,65],"Internet-of-Things":[7],"applications":[8],"promise":[9],"a":[10,90,123],"wealth":[11],"of":[12,33,41,119],"interaction":[13],"that":[15,37,85],"can":[16],"be":[17],"naturally":[18],"represented":[19],"as":[20],"time-varying":[21,34],"networks.":[22],"This":[23],"brings":[24],"forth":[25],"new":[26],"challenges":[27],"for":[28,55,122],"the":[29,96,116,120],"identification":[30],"removal":[32],"graph":[35,57],"anomalies":[36,109],"entail":[38],"complex":[39],"correlations":[40],"topological":[42],"features":[43],"temporal":[45,56],"activity":[46],"patterns.":[47],"Here":[48],"we":[49],"present":[50],"an":[51,61],"anomaly":[52,97],"detection":[53,98],"approach":[54,71,101],"data,":[58],"based":[59],"on":[60],"iterative":[62],"tensor":[63],"decomposition":[64],"masking":[66],"procedure.":[67],"We":[68],"test":[69],"this":[70],"using":[72],"high-resolution":[73],"social":[74],"network":[75,108],"wearable":[78],"proximity":[79],"sensors.":[80],"The":[81],"dataset":[82],"includes":[83],"metadata":[84],"allow":[86],"to":[87,94,111],"independently":[88],"build":[89],"ground":[91],"truth,":[92],"used":[93],"validate":[95],"method.":[99],"Our":[100],"achieves":[102],"high":[103],"accuracy":[104],"in":[105],"identifying":[106],"meso-scale":[107],"due":[110],"wearing":[113],"protocol,":[114],"proving":[115],"practical":[117],"viability":[118],"method":[121],"real-world":[124],"application.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2016-06-24T00:00:00"}