{"id":"https://openalex.org/W2997431870","doi":"https://doi.org/10.1145/3336191.3371821","title":"Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models","display_name":"Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models","publication_year":2020,"publication_date":"2020-01-20","ids":{"openalex":"https://openalex.org/W2997431870","doi":"https://doi.org/10.1145/3336191.3371821","mag":"2997431870"},"language":"en","primary_location":{"id":"doi:10.1145/3336191.3371821","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"preprint","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/A5072492128","display_name":"Quyu Kong","orcid":"https://orcid.org/0000-0001-6669-9190"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Quyu Kong","raw_affiliation_strings":["Australian National University & UTS & Data61, CSIRO, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Australian National University & UTS & Data61, CSIRO, Canberra, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069685493","display_name":"Marian-Andrei Rizoiu","orcid":"https://orcid.org/0000-0003-0381-669X"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Marian-Andrei Rizoiu","raw_affiliation_strings":["University of Technology Sydney & Data61, CSIRO, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney & Data61, CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I114017466","https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049449495","display_name":"Lexing Xie","orcid":"https://orcid.org/0000-0001-8319-0118"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lexing Xie","raw_affiliation_strings":["Australian National University & Data61, CSIRO, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Australian National University & Data61, CSIRO, Canberra, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916","https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072492128"],"corresponding_institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":4.3969,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.94989139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"286","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.6218954920768738},{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"Goodness of fit","score":0.5886896252632141},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5480362772941589},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4921042323112488},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4304003119468689},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39924126863479614},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.39455196261405945},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.37453576922416687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28492599725723267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24927037954330444},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1828785538673401},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08671405911445618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6218954920768738},{"id":"https://openalex.org/C132480984","wikidata":"https://www.wikidata.org/wiki/Q2034239","display_name":"Goodness of fit","level":2,"score":0.5886896252632141},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5480362772941589},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4921042323112488},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4304003119468689},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39924126863479614},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.39455196261405945},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.37453576922416687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28492599725723267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24927037954330444},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1828785538673401},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08671405911445618},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3336191.3371821","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G3972212580","display_name":null,"funder_award_id":"19IOA08","funder_id":"https://openalex.org/F4320318019","funder_display_name":"Asian Office of Aerospace Research and Development"}],"funders":[{"id":"https://openalex.org/F4320312169","display_name":"National Computational Infrastructure","ror":"https://ror.org/04yx6dh41"},{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320318019","display_name":"Asian Office of Aerospace Research and Development","ror":null},{"id":"https://openalex.org/F4320320386","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W3129031","https://openalex.org/W605727707","https://openalex.org/W1514046945","https://openalex.org/W1588116093","https://openalex.org/W1972754097","https://openalex.org/W1977672204","https://openalex.org/W2017224289","https://openalex.org/W2058904112","https://openalex.org/W2069849731","https://openalex.org/W2085140951","https://openalex.org/W2096845327","https://openalex.org/W2136883754","https://openalex.org/W2148301044","https://openalex.org/W2164082612","https://openalex.org/W2164900957","https://openalex.org/W2509830164","https://openalex.org/W2510535358","https://openalex.org/W2537621299","https://openalex.org/W2556364520","https://openalex.org/W2570941861","https://openalex.org/W2585868976","https://openalex.org/W2767654354","https://openalex.org/W2803691834","https://openalex.org/W2809236965","https://openalex.org/W2904956766","https://openalex.org/W2907352650","https://openalex.org/W2949377321","https://openalex.org/W2949586520","https://openalex.org/W2962817261","https://openalex.org/W2963121843","https://openalex.org/W2963438868","https://openalex.org/W2963974565","https://openalex.org/W3105291472","https://openalex.org/W3122471732","https://openalex.org/W4399650065","https://openalex.org/W4402338157","https://openalex.org/W6600317402","https://openalex.org/W6605010124"],"related_works":["https://openalex.org/W1541538682","https://openalex.org/W2955895218","https://openalex.org/W2097522327","https://openalex.org/W2050686036","https://openalex.org/W4401391986","https://openalex.org/W3167233239","https://openalex.org/W2493307909","https://openalex.org/W2621433169","https://openalex.org/W2114437131","https://openalex.org/W2372709328"],"abstract_inverted_index":{"Epidemic":[0],"models":[1,9,19,174],"and":[2,16,27,76,84,99,114,128,150],"self-exciting":[3,89,119],"processes":[4,120],"are":[5,30,176],"two":[6,44,173],"types":[7],"of":[8,58,88,118,137,148,161,169],"used":[10],"to":[11,144,154],"describe":[12],"diffusion":[13,108],"phenomena":[14],"online":[15],"offline.":[17],"These":[18],"were":[20],"originally":[21],"developed":[22],"in":[23],"different":[24],"scientific":[25],"communities,":[26],"their":[28],"commonalities":[29],"under-explored.":[31],"This":[32],"work":[33],"establishes,":[34],"for":[35,95],"the":[36,43,68,71,74,85,91,101,134,138,145,159,167,181],"first":[37,53],"time,":[38],"a":[39,55],"general":[40],"connection":[41],"between":[42,73],"model":[45,62],"classes":[46],"via":[47],"three":[48,105,122],"new":[49],"mathematical":[50],"components.":[51],"The":[52],"is":[54,70],"generalized":[56,102],"version":[57],"stochastic":[59],"Susceptible-Infected-Recovered":[60],"(SIR)":[61],"with":[63,121,142,152],"arbitrary":[64],"recovery":[65,78,81],"time":[66,79],"distributions;":[67],"second":[69],"relationship":[72],"(latent":[75],"arbitrary)":[77],"distribution,":[80],"hazard":[82],"function,":[83],"infection":[86,123,139],"kernel":[87],"processes;":[90],"third":[92],"includes":[93],"methods":[94],"simulating,":[96],"fitting,":[97],"evaluating":[98],"predicting":[100],"process.":[103],"On":[104],"large":[106],"Twitter":[107],"datasets,":[109],"we":[110],"conduct":[111],"goodness-of-fit":[112,182],"tests":[113],"holdout":[115],"log-likelihood":[116],"evaluation":[117],"kernels":[124,140],"---":[125],"exponential,":[126],"power-law":[127],"Tsallis":[129],"Q-exponential.":[130],"We":[131,164],"show":[132],"that":[133,175],"modeling":[135],"performance":[136],"varies":[141],"respect":[143,153],"temporal":[146],"structures":[147],"diffusions,":[149],"also":[151],"user":[155],"behavior,":[156],"such":[157],"as":[158,178],"likelihood":[160],"being":[162],"bots.":[163],"further":[165],"improve":[166],"prediction":[168],"popularity":[170],"by":[171,180],"combining":[172],"identified":[177],"complementary":[179],"tests.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}