{"id":"https://openalex.org/W2898336678","doi":"https://doi.org/10.1109/asonam.2018.8508548","title":"Enhancing Diffusion Models by Embedding Cognitive Reasoning","display_name":"Enhancing Diffusion Models by Embedding Cognitive Reasoning","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898336678","doi":"https://doi.org/10.1109/asonam.2018.8508548","mag":"2898336678"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Enhancing_Diffusion_Models_by_Embedding_Cognitive_Reasoning/27583887","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002937059","display_name":"Chaminda Bulumulla","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chaminda Bulumulla","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071422010","display_name":"Jeffrey Chan","orcid":"https://orcid.org/0000-0002-7865-072X"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jeffrey Chan","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066217263","display_name":"Lin Padgham","orcid":"https://orcid.org/0000-0002-6974-3318"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lin Padgham","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":0.3392,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.53900516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"744","last_page":"749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9995999932289124,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9995999932289124,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.994700014591217,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9830999970436096,"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/computer-science","display_name":"Computer science","score":0.7074751853942871},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.6593742966651917},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5958455801010132},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5462058782577515},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.532970666885376},{"id":"https://openalex.org/keywords/cognitive-model","display_name":"Cognitive model","score":0.4493935704231262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4017978310585022},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3487638235092163},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33719971776008606},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.32524025440216064},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10285350680351257},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08385229110717773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074751853942871},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.6593742966651917},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5958455801010132},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5462058782577515},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.532970666885376},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.4493935704231262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4017978310585022},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3487638235092163},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33719971776008606},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.32524025440216064},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10285350680351257},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08385229110717773},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/asonam.2018.8508548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.61RMIT_INST:11246756480001341","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=8508548","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27583887","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Enhancing_Diffusion_Models_by_Embedding_Cognitive_Reasoning/27583887","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27583887","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Enhancing_Diffusion_Models_by_Embedding_Cognitive_Reasoning/27583887","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W34091606","https://openalex.org/W1495750374","https://openalex.org/W1899330952","https://openalex.org/W2016822487","https://openalex.org/W2017335767","https://openalex.org/W2020721888","https://openalex.org/W2027526094","https://openalex.org/W2041157860","https://openalex.org/W2073915558","https://openalex.org/W2101238948","https://openalex.org/W2109603058","https://openalex.org/W2114962442","https://openalex.org/W2129813669","https://openalex.org/W2133412639","https://openalex.org/W2263353546","https://openalex.org/W2335647574","https://openalex.org/W2507581019","https://openalex.org/W2596598207","https://openalex.org/W2963808807","https://openalex.org/W3100193984","https://openalex.org/W4253045123","https://openalex.org/W6601404395","https://openalex.org/W6677317034","https://openalex.org/W6726275678","https://openalex.org/W6734953076"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2005801347","https://openalex.org/W2372385138","https://openalex.org/W2186640231","https://openalex.org/W4296359239","https://openalex.org/W1557905920","https://openalex.org/W2043093291"],"abstract_inverted_index":{"Diffusion":[0],"models":[1,23],"are":[2,38],"powerful":[3],"tools":[4],"for":[5,139,148,161],"understanding":[6],"the":[7,30,100,110,122,137,140,143,146,159],"spread":[8],"of":[9,92,103,121,142],"diverse":[10],"content":[11],"such":[12,33],"as":[13,34],"information,":[14],"opinions":[15],"and":[16,98,116,171],"ideas":[17],"through":[18],"social":[19,173],"networks.":[20],"Although":[21],"these":[22],"have":[24],"been":[25],"successfully":[26],"used":[27],"to":[28,85,165],"study":[29,90],"spreading":[31],"dynamics":[32],"viral":[35],"marketing,":[36],"there":[37],"many":[39],"real":[40],"scenarios":[41],"(e.g.":[42],"vaccination,":[43],"evacuation)":[44],"that":[45,58],"require":[46],"a":[47,54,86,117],"more":[48],"complex":[49,163,170],"model.":[50],"Hence,":[51],"we":[52],"propose":[53],"new":[55],"hybrid":[56],"framework":[57,69,84,155],"combines":[59],"diffusion":[60,101,152,167],"modelling":[61,162],"with":[62,136],"cognitive":[63,78,149],"agent":[64,79],"modelling.":[65,153],"The":[66,130,154],"hybrid,":[67],"generic":[68],"is":[70],"grounded":[71],"on":[72],"BDI":[73],"(Belief-Desire-Intention),":[74],"an":[75],"advanced,":[76],"efficient":[77],"framework.":[80],"We":[81,95],"demonstrate":[82],"our":[83,104],"wildfire":[87],"evacuation":[88],"case":[89],"consisting":[91],"5,000":[93],"agents.":[94],"then":[96],"compare":[97],"analyse":[99],"outcomes":[102],"model":[105,115],"against":[106],"two":[107],"baseline":[108],"models,":[109],"standard":[111],"Linear":[112],"Threshold":[113],"(LT)":[114],"slightly":[118],"modified":[119],"version":[120],"LT":[123],"model,":[124],"across":[125],"17":[126],"different":[127],"input":[128],"configurations.":[129],"results":[131],"show":[132],"(statistically)":[133],"significant":[134],"differences":[135],"baselines":[138],"majority":[141],"configurations,":[144],"highlighting":[145],"need":[147],"agents":[150],"in":[151,169],"presented":[156],"here":[157],"provides":[158],"basis":[160],"reasoning":[164],"capture":[166],"phenomena":[168],"dynamic":[172],"systems.":[174]},"counts_by_year":[{"year":2022,"cited_by_count":13},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}
