{"id":"https://openalex.org/W4283709525","doi":"https://doi.org/10.1109/msp.2022.3149471","title":"Explainability in Graph Data Science: Interpretability, replicability, and reproducibility of community detection","display_name":"Explainability in Graph Data Science: Interpretability, replicability, and reproducibility of community detection","publication_year":2022,"publication_date":"2022-06-28","ids":{"openalex":"https://openalex.org/W4283709525","doi":"https://doi.org/10.1109/msp.2022.3149471"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2022.3149471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2022.3149471","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-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/A5038586596","display_name":"Selin Aviyente","orcid":"https://orcid.org/0000-0001-9023-107X"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Selin Aviyente","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023669122","display_name":"Abdullah Karaaslanli","orcid":"https://orcid.org/0000-0003-4814-0128"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdullah Karaaslanli","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.3367,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51584246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"39","issue":"4","first_page":"25","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980999827384949,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9915000200271606,"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/interpretability","display_name":"Interpretability","score":0.9148609638214111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7637357711791992},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5831551551818848},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5224720239639282},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.486301988363266},{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.4851461350917816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4776502847671509},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.4404102563858032},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43655309081077576},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.4168604016304016},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4139876961708069},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3417813777923584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3326403796672821},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.3104409873485565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11728763580322266}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9148609638214111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7637357711791992},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5831551551818848},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5224720239639282},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.486301988363266},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.4851461350917816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4776502847671509},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.4404102563858032},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43655309081077576},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.4168604016304016},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4139876961708069},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3417813777923584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3326403796672821},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.3104409873485565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11728763580322266},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/msp.2022.3149471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2022.3149471","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4680261796","display_name":"CIF: Small: Community Detection in Multilayer Networks with Applications to Functional Connectivity Brain Networks","funder_award_id":"2006800","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W11356396","https://openalex.org/W1756737390","https://openalex.org/W1968439746","https://openalex.org/W1983099884","https://openalex.org/W1992613305","https://openalex.org/W2001211472","https://openalex.org/W2008209917","https://openalex.org/W2015953751","https://openalex.org/W2023655578","https://openalex.org/W2025543856","https://openalex.org/W2025852794","https://openalex.org/W2026905436","https://openalex.org/W2035765120","https://openalex.org/W2044988896","https://openalex.org/W2054417439","https://openalex.org/W2061099285","https://openalex.org/W2065118240","https://openalex.org/W2070746915","https://openalex.org/W2104240253","https://openalex.org/W2106067233","https://openalex.org/W2109273473","https://openalex.org/W2119998616","https://openalex.org/W2127048411","https://openalex.org/W2131681506","https://openalex.org/W2131717044","https://openalex.org/W2136088806","https://openalex.org/W2146046001","https://openalex.org/W2164998314","https://openalex.org/W2187089797","https://openalex.org/W2414283705","https://openalex.org/W2416738288","https://openalex.org/W2513567506","https://openalex.org/W2594475271","https://openalex.org/W2626936883","https://openalex.org/W2657631929","https://openalex.org/W2789816182","https://openalex.org/W2796431263","https://openalex.org/W2896311902","https://openalex.org/W2897249806","https://openalex.org/W2898422183","https://openalex.org/W2945526235","https://openalex.org/W2951271819","https://openalex.org/W2962772482","https://openalex.org/W2963302977","https://openalex.org/W2963455014","https://openalex.org/W2989964158","https://openalex.org/W2991931529","https://openalex.org/W3005340895","https://openalex.org/W3024644820","https://openalex.org/W3030878401","https://openalex.org/W3032942478","https://openalex.org/W3046435230","https://openalex.org/W3049684724","https://openalex.org/W3097176524","https://openalex.org/W3099768174","https://openalex.org/W3101413764","https://openalex.org/W3102641634","https://openalex.org/W3103796199","https://openalex.org/W3105761396","https://openalex.org/W3106188259","https://openalex.org/W3106209931","https://openalex.org/W3126033509","https://openalex.org/W3142646248","https://openalex.org/W4235571646","https://openalex.org/W4311833010","https://openalex.org/W6600463257","https://openalex.org/W6658288680","https://openalex.org/W6788147755"],"related_works":["https://openalex.org/W2911741107","https://openalex.org/W2101580881","https://openalex.org/W3003422837","https://openalex.org/W2468446668","https://openalex.org/W1983874336","https://openalex.org/W2809250158","https://openalex.org/W2001721715","https://openalex.org/W4283709525","https://openalex.org/W1505600734","https://openalex.org/W1978558026"],"abstract_inverted_index":{"In":[0,66],"many":[1],"modern":[2],"data":[3,6,64,78],"science":[4,178],"problems,":[5],"are":[7],"represented":[8],"by":[9,158],"a":[10,51,57,106,110,116],"graph":[11,36,63,77],"(network),":[12],"e.g.,":[13],"social,":[14],"biological,":[15],"and":[16,26,46,140,166,174,189],"communication":[17],"networks.":[18],"Over":[19],"the":[20,40,73,84,95,120,138,143,192],"past":[21],"decade,":[22],"numerous":[23],"signal":[24],"processing":[25],"machine":[27],"learning":[28,48,87],"(ML)":[29],"algorithms":[30,147],"have":[31],"been":[32],"introduced":[33],"for":[34],"analyzing":[35],"structured":[37],"data.":[38],"With":[39],"growth":[41],"of":[42,53,75,83,122,142,145,184,194],"interest":[43],"in":[44,50,62,98,161,168,191],"graphs":[45],"graph-based":[47],"tasks":[49],"variety":[52],"applications,":[54],"there":[55],"is":[56,93,105],"need":[58],"to":[59,71,115,150,179],"explore":[60],"explainability":[61],"science.":[65],"this":[67,169],"article,":[68,170],"we":[69,171],"aim":[70],"approach":[72],"issue":[74],"explainable":[76,162],"science,":[79],"focusing":[80],"on":[81,127],"one":[82],"most":[85],"fundamental":[86],"tasks,":[88],"community":[89,104,124,195],"detection,":[90],"as":[91],"it":[92],"usually":[94],"first":[96],"step":[97],"extracting":[99],"information":[100],"from":[101,176],"graphs.":[102],"A":[103],"dense":[107],"subnetwork":[108],"within":[109],"larger":[111],"network":[112,177],"that":[113],"corresponds":[114],"specific":[117],"function.":[118],"Despite":[119],"success":[121],"different":[123,182],"detection":[125],"methods":[126,173],"synthetic":[128],"networks":[129,152],"with":[130,153],"strong":[131],"modular":[132,155],"structure,":[133],"much":[134],"remains":[135],"unknown":[136,154],"about":[137],"quality":[139],"significance":[141],"outputs":[144],"these":[146],"when":[148],"applied":[149],"real-world":[151],"structure.":[156],"Inspired":[157],"recent":[159],"advances":[160],"artificial":[163],"intelligence":[164],"(AI)":[165],"ML,":[167],"present":[172],"metrics":[175],"quantify":[180],"three":[181],"aspects":[183],"explainability,":[185],"i.e.,":[186],"interpretability,":[187],"replicability,":[188],"reproducibility,":[190],"context":[193],"detection.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}