{"id":"https://openalex.org/W3209629693","doi":"https://doi.org/10.1007/s10618-021-00803-2","title":"An efficient procedure for mining egocentric temporal motifs","display_name":"An efficient procedure for mining egocentric temporal motifs","publication_year":2021,"publication_date":"2021-11-12","ids":{"openalex":"https://openalex.org/W3209629693","doi":"https://doi.org/10.1007/s10618-021-00803-2","mag":"3209629693"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-021-00803-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-021-00803-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-021-00803-2.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10618-021-00803-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078906245","display_name":"Antonio Longa","orcid":"https://orcid.org/0000-0003-0337-1838"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Antonio Longa","raw_affiliation_strings":["Fondazione Bruno Kessler (FBK), Trento, Italy","Universit\u00e0 degli Studi di Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0003-0337-1838","affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler (FBK), Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"Universit\u00e0 degli Studi di Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058033787","display_name":"Giulia Cencetti","orcid":"https://orcid.org/0000-0002-6946-3666"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Cencetti","raw_affiliation_strings":["Fondazione Bruno Kessler (FBK), Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler (FBK), Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048877432","display_name":"Bruno Lepri","orcid":"https://orcid.org/0000-0003-1275-2333"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bruno Lepri","raw_affiliation_strings":["Fondazione Bruno Kessler (FBK), Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler (FBK), Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066187890","display_name":"Andrea Passerini","orcid":"https://orcid.org/0000-0002-2765-5395"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Passerini","raw_affiliation_strings":["Universit\u00e0 degli Studi di Trento, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli Studi di Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078906245"],"corresponding_institution_ids":["https://openalex.org/I193223587","https://openalex.org/I2277624104"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.1003,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.8794112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"36","issue":"1","first_page":"355","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7245540618896484},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5201485753059387},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5135419368743896},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4607568383216858},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4581727981567383},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44649094343185425},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.43107330799102783},{"id":"https://openalex.org/keywords/isomorphism","display_name":"Isomorphism (crystallography)","score":0.41113418340682983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40632009506225586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7245540618896484},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5201485753059387},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5135419368743896},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4607568383216858},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4581727981567383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44649094343185425},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.43107330799102783},{"id":"https://openalex.org/C203436722","wikidata":"https://www.wikidata.org/wiki/Q902950","display_name":"Isomorphism (crystallography)","level":3,"score":0.41113418340682983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40632009506225586},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.0},{"id":"https://openalex.org/C115624301","wikidata":"https://www.wikidata.org/wiki/Q895901","display_name":"Crystal structure","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10618-021-00803-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-021-00803-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-021-00803-2.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/330881","is_oa":true,"landing_page_url":"https://link.springer.com/article/10.1007/s10618-021-00803-2#rightslink","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10618-021-00803-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-021-00803-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-021-00803-2.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322275","display_name":"Universit\u00e0 degli Studi di Trento","ror":"https://ror.org/05trd4x28"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3209629693.pdf","grobid_xml":"https://content.openalex.org/works/W3209629693.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W132921321","https://openalex.org/W416419572","https://openalex.org/W950821216","https://openalex.org/W1573579329","https://openalex.org/W1864134408","https://openalex.org/W1874858905","https://openalex.org/W1900217900","https://openalex.org/W1937334562","https://openalex.org/W2008620264","https://openalex.org/W2029766371","https://openalex.org/W2029792996","https://openalex.org/W2048324994","https://openalex.org/W2049607688","https://openalex.org/W2061425021","https://openalex.org/W2061901927","https://openalex.org/W2081054349","https://openalex.org/W2083485334","https://openalex.org/W2086639361","https://openalex.org/W2098166026","https://openalex.org/W2100741829","https://openalex.org/W2108614537","https://openalex.org/W2112090702","https://openalex.org/W2112912067","https://openalex.org/W2122278421","https://openalex.org/W2125349172","https://openalex.org/W2150587298","https://openalex.org/W2153624566","https://openalex.org/W2166660524","https://openalex.org/W2167598145","https://openalex.org/W2294347342","https://openalex.org/W2562676961","https://openalex.org/W2596774062","https://openalex.org/W2625026177","https://openalex.org/W2896890240","https://openalex.org/W2907956112","https://openalex.org/W2952695746","https://openalex.org/W2971262600","https://openalex.org/W2996448636","https://openalex.org/W3037819556","https://openalex.org/W3094003722","https://openalex.org/W3101251439","https://openalex.org/W3101999497","https://openalex.org/W3102446989","https://openalex.org/W3106390811","https://openalex.org/W3109089857","https://openalex.org/W3110905475","https://openalex.org/W3122868618","https://openalex.org/W3135295412","https://openalex.org/W3142570770","https://openalex.org/W3143219376","https://openalex.org/W4238452917"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2987986312","https://openalex.org/W2402761219","https://openalex.org/W2898780680","https://openalex.org/W4288024920","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2609066826","https://openalex.org/W4366457370"],"abstract_inverted_index":{"Abstract":[0],"Temporal":[1],"graphs":[2],"are":[3,92,165],"structures":[4,65,109],"which":[5,164,214],"model":[6,158],"relational":[7],"data":[8],"between":[9],"entities":[10],"that":[11],"change":[12],"over":[13,185],"time.":[14],"Due":[15],"to":[16,131,138,160,211],"the":[17,56,75,79,83,104,117,144,147,151,179,182,207],"complex":[18,173],"structure":[19,76],"of":[20,59,74,78,82,99,106,119,150,153,172,175,181,206],"data,":[21,213],"mining":[22],"statistically":[23],"significant":[24],"temporal":[25,30,46,49,61,72,125,148,162],"subgraphs,":[26],"also":[27],"known":[28],"as":[29],"motifs,":[31],"is":[32,53,192],"a":[33,111,154,170],"challenging":[34],"task.":[35],"In":[36],"this":[37,100],"work,":[38],"we":[39],"present":[40],"an":[41,68,95],"efficient":[42,195],"technique":[43],"for":[44,124],"extracting":[45],"motifs":[47,135,163],"in":[48,89,103,122,196],"networks.":[50],"Our":[51],"method":[52],"based":[54],"on":[55,67,146,169],"novel":[57],"notion":[58],"egocentric":[60,190],"neighborhoods,":[62],"namely":[63],"multi-layer":[64],"centered":[66],"ego":[69,84],"node.":[70],"Each":[71],"layer":[73],"consists":[77],"first-order":[80],"neighborhood":[81],"node,":[85,156],"and":[86,199],"corresponding":[87],"nodes":[88],"sequential":[90],"layers":[91],"connected":[93],"by":[94,142],"edge.":[96],"The":[97,189],"strength":[98],"approach":[101,184],"lies":[102],"possibility":[105],"encoding":[107],"these":[108],"into":[110],"unique":[112],"bit":[113],"vector,":[114],"thus":[115],"bypassing":[116],"problem":[118],"graph":[120],"isomorphism":[121],"searching":[123],"motifs.":[126],"This":[127],"allows":[128,159],"our":[129,157],"algorithm":[130],"mine":[132,161],"substantially":[133],"larger":[134],"with":[136],"respect":[137],"alternative":[139,186],"approaches.":[140],"Furthermore,":[141],"bringing":[143],"focus":[145],"dynamics":[149],"interactions":[152,177],"specific":[155],"visibly":[166],"interpretable.":[167],"Experiments":[168],"number":[171],"networks":[174],"social":[176,203],"confirm":[178],"advantage":[180],"proposed":[183],"non-egocentric":[187,218],"solutions.":[188],"procedure":[191],"indeed":[193],"more":[194],"revealing":[197],"similarities":[198],"discrepancies":[200],"among":[201],"different":[202,208],"environments,":[204],"independently":[205],"technologies":[209],"used":[210],"collect":[212],"instead":[215],"affect":[216],"standard":[217],"measures.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
