{"id":"https://openalex.org/W4415353398","doi":"https://doi.org/10.1109/isit63088.2025.11195272","title":"Timely Gossip on Lines: Hybrid Ageing","display_name":"Timely Gossip on Lines: Hybrid Ageing","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4415353398","doi":"https://doi.org/10.1109/isit63088.2025.11195272"},"language":null,"primary_location":{"id":"doi:10.1109/isit63088.2025.11195272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","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/A5114549872","display_name":"Han Xu","orcid":"https://orcid.org/0000-0002-9617-726X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Xu","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032981112","display_name":"Jiayu Pan","orcid":"https://orcid.org/0000-0002-5179-3165"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Pan","raw_affiliation_strings":["School of Software Technology, Zhejiang University,China,310058"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University,China,310058","institution_ids":["https://openalex.org/I55712492","https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014227402","display_name":"Yinfei Xu","orcid":"https://orcid.org/0000-0003-3191-6903"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinfei Xu","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025609529","display_name":"Shuo Shao","orcid":"https://orcid.org/0000-0003-2872-795X"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Shao","raw_affiliation_strings":["University of Shanghai for Science and Technology,Department of System Science,Shanghai,China,200093"],"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,Department of System Science,Shanghai,China,200093","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022040924","display_name":"Tiecheng Song","orcid":"https://orcid.org/0000-0002-9505-0179"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiecheng Song","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114549872"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":4.2244,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.94810253,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.34929999709129333,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.34929999709129333,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gossip","display_name":"Gossip","score":0.9318000078201294},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6168000102043152},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.499099999666214},{"id":"https://openalex.org/keywords/gossip-protocol","display_name":"Gossip protocol","score":0.47029998898506165},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.44200000166893005},{"id":"https://openalex.org/keywords/ageing","display_name":"Ageing","score":0.37770000100135803}],"concepts":[{"id":"https://openalex.org/C62989814","wikidata":"https://www.wikidata.org/wiki/Q854648","display_name":"Gossip","level":2,"score":0.9318000078201294},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6168000102043152},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.499099999666214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49070000648498535},{"id":"https://openalex.org/C145928361","wikidata":"https://www.wikidata.org/wiki/Q5587504","display_name":"Gossip protocol","level":3,"score":0.47029998898506165},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4036000072956085},{"id":"https://openalex.org/C500499127","wikidata":"https://www.wikidata.org/wiki/Q332154","display_name":"Ageing","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C168773036","wikidata":"https://www.wikidata.org/wiki/Q264164","display_name":"Recursion (computer science)","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit63088.2025.11195272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2007438913","https://openalex.org/W2013073424","https://openalex.org/W2744248483","https://openalex.org/W3032653123","https://openalex.org/W3197901880","https://openalex.org/W3199878738","https://openalex.org/W3217338091","https://openalex.org/W4289655236","https://openalex.org/W4289655308","https://openalex.org/W4289655349","https://openalex.org/W4317033442","https://openalex.org/W4321104925","https://openalex.org/W4386075307","https://openalex.org/W4388675088","https://openalex.org/W4390189810","https://openalex.org/W4390495946","https://openalex.org/W4390659242","https://openalex.org/W4396712492","https://openalex.org/W4401693410","https://openalex.org/W4403060993","https://openalex.org/W4403182625","https://openalex.org/W4404037627"],"related_works":[],"abstract_inverted_index":{"We":[0,66],"introduce":[1],"the":[2,23,32,62,69,91,103,127,135,144,151,156],"hybrid":[3,70],"ageing":[4,14,71,104],"problem":[5,72],"in":[6,28,73,98,126,150],"gossip":[7,83,87,129,148],"networks,":[8,78],"where":[9,102],"each":[10,107],"node":[11,108],"has":[12],"different":[13,100],"processes.":[15],"This":[16],"generalization":[17],"brings":[18],"two":[19,74,99],"new":[20],"issues:":[21],"i)":[22,46],"traditional":[24],"subset":[25],"recursion":[26],"method":[27],"[1]":[29],"fails;":[30],"ii)":[31],"existence":[33,157],"of":[34,76,94,106,119,138,158],"stationary":[35],"average":[36,63,95,120,159],"age":[37,64,96,121,139,160],"penalty":[38,97,122,140],"needs":[39],"to":[40,60,154],"be":[41,110],"re-examined.":[42],"To":[43],"resolve":[44],"issue":[45],"and":[47,81],"ii),":[48],"we":[49,89,132],"leverage":[50],"a":[51],"node-by-node":[52],"SHSs":[53],"analysis":[54],"by":[55,143],"introducing":[56],"splitting":[57],"Poisson":[58],"processes":[59],"evaluate":[61],"penalty.":[65,161],"first":[67],"analyze":[68],"types":[75],"line":[77,153],"i.e.,":[79],"one-way":[80,86,152],"two-way":[82,128],"lines.":[84],"In":[85],"lines,":[88],"derive":[90],"closed-form":[92],"expression":[93],"cases,":[101],"process":[105],"can":[109],"ordered":[111],"or":[112],"disordered":[113],"(Definition":[114],"1).":[115],"The":[116],"closedform":[117],"expressions":[118],"are":[123],"also":[124],"derived":[125],"line.":[130],"Moreover,":[131],"show":[133],"that":[134],"growth":[136],"rate":[137],"is":[141],"bounded":[142],"arrival":[145],"rates":[146],"between":[147],"nodes":[149],"ensure":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-21T00:00:00"}