{"id":"https://openalex.org/W7140211885","doi":"https://doi.org/10.1016/j.procs.2026.03.019","title":"WDL: A Wiener-Based Diffusive Logistic Model for Information Propagation in Online Social Networks","display_name":"WDL: A Wiener-Based Diffusive Logistic Model for Information Propagation in Online Social Networks","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140211885","doi":"https://doi.org/10.1016/j.procs.2026.03.019"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2026.03.019","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.019","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2026.03.019","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sara Kahouajane","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sara Kahouajane","raw_affiliation_strings":["LAPSII, The Safi\u2019s Graduate School of technology, Cadi Ayyad University, Marrakesh, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LAPSII, The Safi\u2019s Graduate School of technology, Cadi Ayyad University, Marrakesh, Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Mohamed Essalih","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Essalih","raw_affiliation_strings":["LAPSII, The Safi\u2019s Graduate School of technology, Cadi Ayyad University, Marrakesh, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LAPSII, The Safi\u2019s Graduate School of technology, Cadi Ayyad University, Marrakesh, Morocco","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67073003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"278","issue":null,"first_page":"518","last_page":"524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.7560999989509583,"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":0.7560999989509583,"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":0.16459999978542328,"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/T13283","display_name":"Mental Health Research Topics","score":0.011900000274181366,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.6990000009536743},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6079000234603882},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6007000207901001},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5286999940872192},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5123999714851379},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.44699999690055847},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.3910999894142151},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.39070001244544983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7926999926567078},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.6990000009536743},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6079000234603882},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6007000207901001},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5286999940872192},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5123999714851379},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.44699999690055847},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.3910999894142151},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.38749998807907104},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36500000953674316},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C180802074","wikidata":"https://www.wikidata.org/wiki/Q1052379","display_name":"Logistic function","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.3192000091075897},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.3037000000476837},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29100000858306885},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.2890999913215637},{"id":"https://openalex.org/C2985904603","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Information networks","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27549999952316284},{"id":"https://openalex.org/C2909171518","wikidata":"https://www.wikidata.org/wiki/Q84822","display_name":"Scyliorhinus canicula","level":3,"score":0.2563000023365021},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2026.03.019","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.019","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2026.03.019","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.019","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1931400479","https://openalex.org/W2061820396","https://openalex.org/W2133131640","https://openalex.org/W2165914564","https://openalex.org/W2178843456","https://openalex.org/W2790166049","https://openalex.org/W2997044594","https://openalex.org/W4234989302"],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"how":[1,125],"information":[2,178,214],"spreads":[3],"through":[4],"online":[5],"social":[6,14,58],"networks":[7],"is":[8],"a":[9,35,70,81,97,146,149],"fundamental":[10],"problem":[11],"in":[12,56,216],"computational":[13],"science.":[15],"Classical":[16],"diffusion":[17,48,129,168,204],"models,":[18],"such":[19,196],"as":[20,85,197],"the":[21,42,74,86,93,102,105,110,120,138,163,173,190,198],"Diffusive":[22,67],"Logistic":[23,68],"(DL)":[24],"model,":[25,69],"account":[26],"for":[27,155],"time":[28],"and":[29,131,152,176,210],"spatial":[30],"dynamics,":[31],"but":[32],"typically":[33],"assume":[34],"structurally":[36],"homogeneous":[37],"network.":[38],"This":[39],"assumption":[40],"neglects":[41],"impact":[43],"of":[44,73,104,192,213],"network":[45,106,142],"topology":[46],"on":[47,115],"patterns,":[49],"which":[50,91],"can":[51],"lead":[52],"to":[53,101,137,172,206],"oversimplified":[54],"predictions":[55,212],"complex":[57,217],"environments.":[59],"In":[60],"this":[61,116],"work,":[62],"we":[63],"introduce":[64],"(WDL)":[65],"Wiener-Based":[66],"topology-aware":[71],"extension":[72],"classical":[75],"DL":[76],"model.":[77],"Our":[78],"approach":[79],"incorporates":[80],"structural":[82,126],"metric":[83],"known":[84],"small":[87,199],"Wiener":[88,200],"index":[89],"w(s,G),":[90],"quantifies":[92],"cumulative":[94],"distance":[95,157],"from":[96],"given":[98],"node":[99,151],"s":[100],"rest":[103],"G.":[107],"By":[108],"modulating":[109],"intrinsic":[111],"growth":[112],"rate":[113],"based":[114],"topological":[117,194],"centrality":[118],"measure,":[119],"WDL":[121,164],"model":[122,136,165],"better":[123],"captures":[124],"positioning":[127],"influences":[128],"speed":[130],"reach.":[132],"We":[133],"apply":[134],"our":[135],"Higgs":[139],"Twitter":[140],"retweet":[141],"(SNAP":[143],"dataset),":[144],"extracting":[145],"subgraph":[147],"around":[148],"central":[150],"computing":[153],"w(s,G)":[154],"each":[156],"layer.":[158],"Numerical":[159],"simulations":[160],"show":[161],"that":[162],"produces":[166],"heterogeneous":[167],"curves:":[169],"nodes":[170],"closer":[171],"center":[174],"receive":[175],"propagate":[177],"faster":[179],"than":[180],"peripheral":[181],"ones,":[182],"consistent":[183],"with":[184],"real-world":[185],"observations.":[186],"These":[187],"findings":[188],"highlight":[189],"potential":[191],"incorporating":[193],"indices,":[195],"index,":[201],"into":[202],"PDE-based":[203],"models":[205],"generate":[207],"more":[208],"realistic":[209],"adaptive":[211],"propagation":[215],"networks.":[218]},"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2026-03-25T00:00:00"}