{"id":"https://openalex.org/W1968149029","doi":"https://doi.org/10.1145/2634274.2634277","title":"Modeling and measuring graph similarity","display_name":"Modeling and measuring graph similarity","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W1968149029","doi":"https://doi.org/10.1145/2634274.2634277","mag":"1968149029"},"language":"en","primary_location":{"id":"doi:10.1145/2634274.2634277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2634274.2634277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM international workshop on Foundations of mobile computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103056913","display_name":"Matthieu Roy","orcid":"https://orcid.org/0000-0002-6336-4667"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I190497903","display_name":"Laboratoire d'Analyse et d'Architecture des Syst\u00e8mes","ror":"https://ror.org/03vcm6439","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I190497903","https://openalex.org/I193033237","https://openalex.org/I196454796","https://openalex.org/I205747304","https://openalex.org/I4210095849","https://openalex.org/I4210152422","https://openalex.org/I4210159245","https://openalex.org/I4405258862","https://openalex.org/I4405259414"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Matthieu Roy","raw_affiliation_strings":["CNRS-LAAS, Toulouse, France","CNRS, LAAS, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS-LAAS, Toulouse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I190497903"]},{"raw_affiliation_string":"CNRS, LAAS, Toulouse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I190497903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066080641","display_name":"Stefan Schmid","orcid":"https://orcid.org/0000-0002-7798-1711"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Schmid","raw_affiliation_strings":["TU Berlin & T-Labs & CNRS-LAAS, 10587, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Berlin & T-Labs & CNRS-LAAS, 10587, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025920044","display_name":"Gilles Tr\u00e9dan","orcid":"https://orcid.org/0000-0003-4473-4332"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I190497903","display_name":"Laboratoire d'Analyse et d'Architecture des Syst\u00e8mes","ror":"https://ror.org/03vcm6439","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I190497903","https://openalex.org/I193033237","https://openalex.org/I196454796","https://openalex.org/I205747304","https://openalex.org/I4210095849","https://openalex.org/I4210152422","https://openalex.org/I4210159245","https://openalex.org/I4405258862","https://openalex.org/I4405259414"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gilles Tredan","raw_affiliation_strings":["CNRS-LAAS, Toulouse, France","CNRS, LAAS, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS-LAAS, Toulouse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I190497903"]},{"raw_affiliation_string":"CNRS, LAAS, Toulouse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I190497903"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4507,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.82116244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9922000169754028,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.9676260948181152},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.8123452663421631},{"id":"https://openalex.org/keywords/katz-centrality","display_name":"Katz centrality","score":0.710770845413208},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6685906052589417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6590002179145813},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.6379553079605103},{"id":"https://openalex.org/keywords/betweenness-centrality","display_name":"Betweenness centrality","score":0.5732351541519165},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.5727062225341797},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.57085120677948},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5469475388526917},{"id":"https://openalex.org/keywords/network-theory","display_name":"Network theory","score":0.5164368748664856},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.48355957865715027},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4527651071548462},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3753649592399597},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3700184226036072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3196556568145752},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24523183703422546},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11378869414329529},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07608646154403687}],"concepts":[{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.9676260948181152},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.8123452663421631},{"id":"https://openalex.org/C131349576","wikidata":"https://www.wikidata.org/wiki/Q6378571","display_name":"Katz centrality","level":4,"score":0.710770845413208},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6685906052589417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6590002179145813},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.6379553079605103},{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.5732351541519165},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.5727062225341797},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.57085120677948},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5469475388526917},{"id":"https://openalex.org/C11804174","wikidata":"https://www.wikidata.org/wiki/Q1192971","display_name":"Network theory","level":2,"score":0.5164368748664856},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.48355957865715027},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4527651071548462},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3753649592399597},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3700184226036072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3196556568145752},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24523183703422546},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11378869414329529},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07608646154403687},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2634274.2634277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2634274.2634277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM international workshop on Foundations of mobile computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W181436911","https://openalex.org/W1507763859","https://openalex.org/W1556758605","https://openalex.org/W1573579329","https://openalex.org/W1834762374","https://openalex.org/W1983681808","https://openalex.org/W1990435776","https://openalex.org/W2008620264","https://openalex.org/W2049607688","https://openalex.org/W2052104835","https://openalex.org/W2070722739","https://openalex.org/W2073705980","https://openalex.org/W2104812688","https://openalex.org/W2149490995","https://openalex.org/W2153624566","https://openalex.org/W2161917555","https://openalex.org/W2170643162","https://openalex.org/W2420733993","https://openalex.org/W2800530279","https://openalex.org/W3143219376","https://openalex.org/W4248776151","https://openalex.org/W6637253493","https://openalex.org/W6652609139"],"related_works":["https://openalex.org/W4312461432","https://openalex.org/W2570065583","https://openalex.org/W2952913018","https://openalex.org/W2611574733","https://openalex.org/W2042444919","https://openalex.org/W2514739320","https://openalex.org/W3174053386","https://openalex.org/W4225983573","https://openalex.org/W3192043023","https://openalex.org/W2065961640"],"abstract_inverted_index":{"The":[0],"study":[1],"of":[2,6,23,29,85,128],"the":[3,24,63,82,86,90,103],"topological":[4],"structure":[5],"complex":[7,32,44,59],"networks":[8],"has":[9],"fascinated":[10],"researchers":[11],"for":[12,58],"several":[13],"decades,":[14],"and":[15,26,46,92,109,124],"today":[16,39],"we":[17,101],"have":[18,93],"a":[19,54,71,98],"fairly":[20],"good":[21],"understanding":[22],"types":[25],"reoccurring":[27],"characteristics":[28],"many":[30,94],"different":[31,87],"networks.":[33,132],"However,":[34],"surprisingly":[35],"little":[36],"is":[37],"known":[38],"about":[40],"models":[41],"to":[42,70,78,118],"compare":[43],"graphs,":[45],"quantitatively":[47],"measure":[48,57],"their":[49],"similarity.":[50],"This":[51],"paper":[52],"proposes":[53],"natural":[55],"similarity":[56],"networks:":[60],"centrality":[61,105,113],"distance,":[62],"difference":[64],"between":[65,121],"two":[66,129],"graphs":[67],"with":[68],"respect":[69],"given":[72],"node":[73],"centrality.":[74],"Centrality":[75],"distances":[76],"allow":[77],"take":[79],"into":[80],"account":[81],"specific":[83],"roles":[84],"nodes":[88],"in":[89,106],"network,":[91],"interesting":[95],"applications.":[96],"As":[97],"case":[99],"study,":[100],"consider":[102],"closeness":[104,112],"more":[107],"detail,":[108],"show":[110],"that":[111],"distance":[114],"can":[115],"be":[116],"used":[117],"effectively":[119],"distinguish":[120],"randomly":[122],"generated":[123],"actual":[125],"evolutionary":[126],"paths":[127],"dynamic":[130],"social":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}