{"id":"https://openalex.org/W7118610347","doi":"https://doi.org/10.1137/1.9781611978971.226","title":"Rumour Spreading Depends on the Latent Geometry and Degree Distribution in Social Network Models","display_name":"Rumour Spreading Depends on the Latent Geometry and Degree Distribution in Social Network Models","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7118610347","doi":"https://doi.org/10.1137/1.9781611978971.226"},"language":"en","primary_location":{"id":"doi:10.1137/1.9781611978971.226","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611978971.226","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)","raw_type":"book-chapter"},"type":"book-chapter","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/A5087813526","display_name":"Marc Kaufmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Marc Kaufmann","raw_affiliation_strings":["Institute of Theoretical Computer Science"],"affiliations":[{"raw_affiliation_string":"Institute of Theoretical Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098537172","display_name":"Kostas Lakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kostas Lakis","raw_affiliation_strings":["Institute of Theoretical Computer Science"],"affiliations":[{"raw_affiliation_string":"Institute of Theoretical Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084778631","display_name":"Johannes Lengler","orcid":"https://orcid.org/0000-0003-0004-7629"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johannes Lengler","raw_affiliation_strings":["Institute of Theoretical Computer Science"],"affiliations":[{"raw_affiliation_string":"Institute of Theoretical Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109782543","display_name":"Raghu Raman Ravi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raghu Raman Ravi","raw_affiliation_strings":["Institute of Theoretical Computer Science"],"affiliations":[{"raw_affiliation_string":"Institute of Theoretical Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039041208","display_name":"Ulysse Schaller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ulysse Schaller","raw_affiliation_strings":["Institute of Theoretical Computer Science"],"affiliations":[{"raw_affiliation_string":"Institute of Theoretical Computer Science","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104284198","display_name":"Konstantin Sturm","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Konstantin Sturm","raw_affiliation_strings":["Institute of Theoretical Computer Science"],"affiliations":[{"raw_affiliation_string":"Institute of Theoretical Computer Science","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087813526"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":143.25,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.99825175,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6264","last_page":"6307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.972000002861023,"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":0.972000002861023,"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":0.012900000438094139,"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":0.001500000013038516,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.7904000282287598},{"id":"https://openalex.org/keywords/geometric-networks","display_name":"Geometric networks","score":0.6456000208854675},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5497999787330627},{"id":"https://openalex.org/keywords/exponent","display_name":"Exponent","score":0.5401999950408936},{"id":"https://openalex.org/keywords/random-graph","display_name":"Random graph","score":0.5339999794960022},{"id":"https://openalex.org/keywords/power-law","display_name":"Power law","score":0.46880000829696655},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45019999146461487},{"id":"https://openalex.org/keywords/degree-distribution","display_name":"Degree distribution","score":0.43630000948905945},{"id":"https://openalex.org/keywords/non-euclidean-geometry","display_name":"Non-Euclidean geometry","score":0.42980000376701355},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4237000048160553}],"concepts":[{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.7904000282287598},{"id":"https://openalex.org/C49777392","wikidata":"https://www.wikidata.org/wiki/Q5535495","display_name":"Geometric networks","level":3,"score":0.6456000208854675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5544000267982483},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5497999787330627},{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.5401999950408936},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.5339999794960022},{"id":"https://openalex.org/C87040749","wikidata":"https://www.wikidata.org/wiki/Q428971","display_name":"Power law","level":2,"score":0.46880000829696655},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45019999146461487},{"id":"https://openalex.org/C87414783","wikidata":"https://www.wikidata.org/wiki/Q1002603","display_name":"Degree distribution","level":3,"score":0.43630000948905945},{"id":"https://openalex.org/C10784197","wikidata":"https://www.wikidata.org/wiki/Q233858","display_name":"Non-Euclidean geometry","level":3,"score":0.42980000376701355},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.4284999966621399},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C2780600066","wikidata":"https://www.wikidata.org/wiki/Q7239828","display_name":"Preferential attachment","level":3,"score":0.41940000653266907},{"id":"https://openalex.org/C30609935","wikidata":"https://www.wikidata.org/wiki/Q7291969","display_name":"Random geometric graph","level":5,"score":0.396699994802475},{"id":"https://openalex.org/C53471067","wikidata":"https://www.wikidata.org/wiki/Q7574076","display_name":"Spatial network","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3776000142097473},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C2988430800","wikidata":"https://www.wikidata.org/wiki/Q428971","display_name":"Scaling law","level":3,"score":0.3610999882221222},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.3594000041484833},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C112953755","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph drawing","level":3,"score":0.33169999718666077},{"id":"https://openalex.org/C206352148","wikidata":"https://www.wikidata.org/wiki/Q209306","display_name":"Hyperbolic geometry","level":3,"score":0.31439998745918274},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.29989999532699585},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.2793999910354614},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C30549945","wikidata":"https://www.wikidata.org/wiki/Q5421526","display_name":"Exponential random graph models","level":4,"score":0.25459998846054077},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/1.9781611978971.226","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611978971.226","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5866808295249939,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,56,164],"study":[1,57],"push-pull":[2],"rumour":[3,107,153,183],"spreading":[4,108,154,184],"in":[5,48,125,190,207],"ultra-small-world":[6],"models":[7],"for":[8,61,82,173],"social":[9,83,201],"networks":[10],"where":[11,203],"the":[12,36,58,62,113,116,120,123,126,132,144,218],"degrees":[13],"follow":[14],"a":[15,19,49,76,191,208],"power-law":[16],"distribution.":[17],"In":[18],"non-geometric":[20],"setting,":[21],"Fountoulakis,":[22],"Panagiotou":[23],"and":[24,40,79,96,101,119,128],"Sauerwald":[25],"have":[26,42],"shown":[27],"that":[28,44,182],"rumours":[29,45],"always":[30,186],"spread":[31,46],"ultra-fast":[32,97],"(SODA":[33],"2012).":[34],"On":[35],"other":[37],"hand,":[38],"Janssen":[39],"Mehrabian":[41],"found":[43,73],"slowly":[47],"spatial":[50],"preferential":[51],"attachment":[52],"model":[53,63,200],"(SIDMA":[54],"2017).":[55],"question":[59],"systematically":[60],"of":[64,105,115,122,205,220],"Geometric":[65],"Inhomogeneous":[66],"Random":[67],"Graphs":[68],"(GIRGs),":[69],"which":[70],"has":[71],"been":[72],"to":[74,168,199,227],"be":[75],"good":[77],"theoretical":[78],"empirical":[80],"fit":[81],"networks.":[84],"Our":[85],"results":[86,167],"are":[87,161],"two-fold:":[88],"first,":[89],"with":[90,143,170],"classical":[91],"Euclidean":[92,224],"geometry":[93,124,197,225],"slow,":[94],"fast":[95,189],"(i.e.,":[98],"polynomial,":[99],"polylogarithmic":[100,149],"doubly":[102,162],"logarithmic":[103],"number":[104],"rounds)":[106],"may":[109,155],"occur,":[110],"depending":[111],"on":[112],"exponent":[114],"power":[117],"law":[118],"strength":[121],"network,":[127],"we":[129,180],"fully":[130],"characterise":[131],"phase":[133],"boundaries":[134],"between":[135],"these":[136,166],"regimes.":[137],"The":[138,194],"regimes":[139],"do":[140],"not":[141],"coincide":[142],"graph":[145,159],"distance":[146],"regimes,":[147],"i.e.,":[148],"or":[150],"even":[151,157],"polynomial":[152],"occur":[156],"if":[158],"distances":[160],"logarithmic.":[163],"expect":[165],"hold":[169],"little":[171],"effort":[172],"related":[174],"models,":[175],"e.g.":[176],"Scale-Free":[177],"Percolation.":[178],"Second,":[179],"show":[181],"is":[185],"(at":[187],"least)":[188],"nonmetric":[192],"geometry.":[193],"considered":[195],"non-metric":[196],"allows":[198],"connections":[202],"resemblance":[204],"vertices":[206],"single":[209],"attribute,":[210],"such":[211,229],"as":[212],"familial":[213],"kinship,":[214],"already":[215],"strongly":[216],"indicates":[217],"presence":[219],"an":[221],"edge.":[222],"Classical":[223],"fails":[226],"capture":[228],"ties.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2026-01-08T00:00:00"}