{"id":"https://openalex.org/W4416595865","doi":"https://doi.org/10.1140/epjds/s13688-026-00663-0","title":"Modeling memory in time-respecting paths on temporal networks","display_name":"Modeling memory in time-respecting paths on temporal networks","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W4416595865","doi":"https://doi.org/10.1140/epjds/s13688-026-00663-0"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-026-00663-0","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-026-00663-0","pdf_url":null,"source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1140/epjds/s13688-026-00663-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120663190","display_name":"Silvia Guerrini","orcid":null},"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":"Silvia Guerrini","raw_affiliation_strings":["ISI Foundation, Via della Rocca, 20, Turin, 10123, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISI Foundation, Via della Rocca, 20, Turin, 10123, Italy","institution_ids":["https://openalex.org/I134940468"]}]},{"author_position":"middle","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":["ISI Foundation, Via della Rocca, 20, Turin, 10123, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISI Foundation, Via della Rocca, 20, Turin, 10123, Italy","institution_ids":["https://openalex.org/I134940468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120612037","display_name":"Lorenzo Dall'Amico","orcid":null},"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":true,"raw_author_name":"Lorenzo Dall\u2019Amico","raw_affiliation_strings":["ISI Foundation, Via della Rocca, 20, Turin, 10123, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISI Foundation, Via della Rocca, 20, Turin, 10123, Italy","institution_ids":["https://openalex.org/I134940468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5120612037"],"corresponding_institution_ids":["https://openalex.org/I134940468"],"apc_list":{"value":1690,"currency":"USD","value_usd":1690},"apc_paid":{"value":1690,"currency":"USD","value_usd":1690},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02701663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.7067999839782715,"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":0.7067999839782715,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.125900000333786,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.048700001090765,"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/encoding","display_name":"Encoding (memory)","score":0.6093999743461609},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.501800000667572},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.37540000677108765},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.35600000619888306},{"id":"https://openalex.org/keywords/human-memory","display_name":"Human memory","score":0.3386000096797943},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.3215999901294708},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.3212999999523163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844000220298767},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6093999743461609},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.501800000667572},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4336000084877014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3919000029563904},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.37540000677108765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37450000643730164},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.35600000619888306},{"id":"https://openalex.org/C2985957978","wikidata":"https://www.wikidata.org/wiki/Q492","display_name":"Human memory","level":3,"score":0.3386000096797943},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.3215999901294708},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.3212999999523163},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.2791000008583069},{"id":"https://openalex.org/C118702147","wikidata":"https://www.wikidata.org/wiki/Q189396","display_name":"Dynamic random-access memory","level":3,"score":0.2531000077724457},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.2517000138759613},{"id":"https://openalex.org/C25016198","wikidata":"https://www.wikidata.org/wiki/Q781833","display_name":"Temporal logic","level":2,"score":0.25}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1140/epjds/s13688-026-00663-0","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-026-00663-0","pdf_url":null,"source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2511.17108","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2511.17108","pdf_url":"https://arxiv.org/pdf/2511.17108","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:bfb0605c30e740a7b4c53c560d2fca14","is_oa":false,"landing_page_url":"https://doaj.org/article/bfb0605c30e740a7b4c53c560d2fca14","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 15, Iss 1 (2026)","raw_type":"article"},{"id":"doi:10.48550/arxiv.2511.17108","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.17108","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-026-00663-0","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-026-00663-0","pdf_url":null,"source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309723","display_name":"Fondazione CRT","ror":"https://ror.org/00fgmmg43"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Human":[0],"close-range":[1],"proximity":[2,51],"interactions":[3],"are":[4],"the":[5,102,106],"key":[6],"determinant":[7],"for":[8],"spreading":[9,109],"processes":[10,22,110],"like":[11],"knowledge":[12],"diffusion,":[13],"norm":[14],"adoption,":[15],"and":[16,43,69,91],"infectious":[17],"disease":[18],"transmission.":[19],"These":[20],"dynamical":[21],"can":[23],"be":[24],"modeled":[25],"with":[26,89],"time-respecting":[27,41,99],"paths":[28,42,100],"on":[29,46,111],"temporal":[30,87,112],"networks.":[31,113],"Here,":[32],"we":[33],"propose":[34,80],"a":[35,81],"framework":[36],"to":[37,74,84,94],"quantify":[38],"memory":[39,62,90,97],"in":[40,55,98],"evaluate":[44],"it":[45,93],"several":[47],"empirical":[48],"datasets":[49],"encoding":[50],"between":[52],"humans":[53],"collected":[54],"different":[56],"settings.":[57],"Our":[58],"results":[59],"show":[60,95],"strong":[61],"effects,":[63],"robust":[64],"across":[65],"settings,":[66],"model":[67,83],"parameters,":[68],"statistically":[70],"significant":[71],"when":[72],"compared":[73],"memoryless":[75],"null":[76],"models.":[77],"We":[78],"further":[79],"generative":[82],"create":[85],"synthetic":[86],"graphs":[88],"use":[92],"that":[96],"decreases":[101],"diffusion":[103],"speed,":[104],"affecting":[105],"dynamics":[107],"of":[108]},"counts_by_year":[],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-11-25T00:00:00"}
