{"id":"https://openalex.org/W4379548828","doi":"https://doi.org/10.1145/3580305.3599488","title":"Reconstructing Graph Diffusion History from a Single Snapshot","display_name":"Reconstructing Graph Diffusion History from a Single Snapshot","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4379548828","doi":"https://doi.org/10.1145/3580305.3599488"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599488","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5028817466","display_name":"Ruizhong Qiu","orcid":"https://orcid.org/0009-0000-3253-8890"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruizhong Qiu","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054680457","display_name":"Dingsu Wang","orcid":"https://orcid.org/0000-0003-0395-3280"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dingsu Wang","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358933","display_name":"Lei Ying","orcid":"https://orcid.org/0000-0001-7955-9445"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Ying","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Princeton University, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101620673","display_name":"Yifang Zhang","orcid":"https://orcid.org/0009-0006-4270-8623"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yifang Zhang","raw_affiliation_strings":["C3.ai Digital Transformation Institute, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"C3.ai Digital Transformation Institute, Urbana, IL, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068043486","display_name":"Hanghang Tong","orcid":"https://orcid.org/0000-0003-4405-3887"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanghang Tong","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5028817466"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.3289,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52711848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1978","last_page":"1988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.995199978351593,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/snapshot","display_name":"Snapshot (computer storage)","score":0.7842471599578857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6555860638618469},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5029415488243103},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5012810230255127},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.435285359621048},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40820834040641785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39814338088035583},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3425895869731903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23022744059562683},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1499529480934143},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10090768337249756}],"concepts":[{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.7842471599578857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6555860638618469},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5029415488243103},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5012810230255127},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.435285359621048},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40820834040641785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39814338088035583},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3425895869731903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23022744059562683},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1499529480934143},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10090768337249756},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599488","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G3748775989","display_name":null,"funder_award_id":"HR001121C0165","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6770826516","display_name":null,"funder_award_id":"2020-67021-32799","funder_id":"https://openalex.org/F4320332299","funder_display_name":"National Institute of Food and Agriculture"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320319788","display_name":"C3.ai Digital Transformation Institute","ror":null},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332299","display_name":"National Institute of Food and Agriculture","ror":"https://ror.org/05qx3fv49"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W3610929","https://openalex.org/W1495750374","https://openalex.org/W1496089190","https://openalex.org/W1501825524","https://openalex.org/W1567923358","https://openalex.org/W1584325681","https://openalex.org/W1623983952","https://openalex.org/W1654194294","https://openalex.org/W1875224361","https://openalex.org/W1914027636","https://openalex.org/W1914370899","https://openalex.org/W1973594349","https://openalex.org/W1975443659","https://openalex.org/W1984069252","https://openalex.org/W1991635064","https://openalex.org/W1994473607","https://openalex.org/W2004929235","https://openalex.org/W2006388199","https://openalex.org/W2015009114","https://openalex.org/W2020076654","https://openalex.org/W2021314079","https://openalex.org/W2041157860","https://openalex.org/W2047311061","https://openalex.org/W2056609785","https://openalex.org/W2056760934","https://openalex.org/W2060935923","https://openalex.org/W2061820396","https://openalex.org/W2081267180","https://openalex.org/W2084531279","https://openalex.org/W2103126699","https://openalex.org/W2107152406","https://openalex.org/W2108858998","https://openalex.org/W2110102971","https://openalex.org/W2111708605","https://openalex.org/W2111772797","https://openalex.org/W2114696370","https://openalex.org/W2118978221","https://openalex.org/W2131997358","https://openalex.org/W2138309709","https://openalex.org/W2153894115","https://openalex.org/W2158205752","https://openalex.org/W2160080718","https://openalex.org/W2171810970","https://openalex.org/W2185894252","https://openalex.org/W2288693043","https://openalex.org/W2295460761","https://openalex.org/W2369072273","https://openalex.org/W2479032158","https://openalex.org/W2482140171","https://openalex.org/W2549585534","https://openalex.org/W2553157258","https://openalex.org/W2596585349","https://openalex.org/W2605245004","https://openalex.org/W2769765804","https://openalex.org/W2774446342","https://openalex.org/W2797105966","https://openalex.org/W2913668833","https://openalex.org/W2921236080","https://openalex.org/W2963794874","https://openalex.org/W2964336877","https://openalex.org/W2983244957","https://openalex.org/W3016050534","https://openalex.org/W3098891849","https://openalex.org/W3106404699","https://openalex.org/W3122000667","https://openalex.org/W3129863273","https://openalex.org/W3132992987","https://openalex.org/W3155683369","https://openalex.org/W3156302073","https://openalex.org/W3214674106","https://openalex.org/W4212774754","https://openalex.org/W4213134349","https://openalex.org/W4224316369","https://openalex.org/W4283650047","https://openalex.org/W4290877199","https://openalex.org/W6804167365"],"related_works":["https://openalex.org/W2097492617","https://openalex.org/W2753240997","https://openalex.org/W1764168690","https://openalex.org/W2537959205","https://openalex.org/W2542847180","https://openalex.org/W2740895074","https://openalex.org/W2772446090","https://openalex.org/W4284893819","https://openalex.org/W2249809453","https://openalex.org/W3152891574"],"abstract_inverted_index":{"Diffusion":[0,124],"on":[1,53,99],"graphs":[2],"is":[3,170,184,217,294],"ubiquitous":[4],"with":[5,150,237],"numerous":[6],"high-impact":[7],"applications,":[8,38],"ranging":[9],"from":[10,126,138],"the":[11,24,100,136,140,159,181,194,198,208,211,221,243,252,275,286,289],"study":[12,117],"of":[13,26,48,83,158,167,175,189,197,210,214,224,277,288],"residential":[14],"segregation":[15],"in":[16,21,29,34,46],"socioeconomics":[17],"and":[18,31,56,69,81,106,179,261],"activation":[19],"cascading":[20],"neuroscience,":[22],"to":[23,73,76,108,134,173,186,245,268,273,284],"modeling":[25],"disease":[27],"contagion":[28],"epidemiology":[30],"malware":[32],"spreading":[33],"cybersecurity.":[35],"In":[36,113],"these":[37],"complete":[39,63],"diffusion":[40,64,92,111,146,168,176,190,225],"histories":[41,65],"play":[42],"an":[43,118,230,263,270],"essential":[44],"role":[45],"terms":[47],"identifying":[49],"dynamical":[50],"patterns,":[51],"reflecting":[52],"precaution":[54],"actions,":[55],"forecasting":[57],"intervention":[58],"effects.":[59],"Despite":[60],"their":[61],"importance,":[62],"are":[66,70,96],"rarely":[67],"available":[68,295],"highly":[71],"challenging":[72],"reconstruct":[74,135],"due":[75,172],"ill-posedness,":[77],"explosive":[78],"search":[79],"space,":[80],"scarcity":[82],"training":[84],"data.":[85],"To":[86,192],"date,":[87],"few":[88],"methods":[89],"exist":[90],"for":[91],"history":[93,125,137],"reconstruction.":[94],"They":[95],"exclusively":[97],"based":[98],"maximum":[101],"likelihood":[102],"estimation":[103,165,187,222],"(MLE)":[104],"formulation":[105,183],"require":[107],"know":[109],"true":[110,145],"parameters.":[112,147,191,226],"this":[114],"paper,":[115],"we":[116,132,201],"even":[119],"harder":[120],"problem,":[121],"namely":[122],"reconstructing":[123],"A":[127],"single":[128],"SnapsHot":[129],"(DASH),":[130],"where":[131],"seek":[133],"only":[139],"final":[141],"snapshot":[142],"without":[143],"knowing":[144],"We":[148,162,227,280],"start":[149],"theoretical":[151],"analyses":[152],"that":[153],"reveal":[154],"a":[155,203],"fundamental":[156],"limitation":[157,196],"MLE":[160,182,199],"formulation.":[161],"prove:":[163],"(a)":[164],"error":[166,188,223],"parameters":[169],"unavoidable":[171],"NP-hardness":[174],"parameter":[177],"estimation,":[178],"(b)":[180],"sensitive":[185],"overcome":[193],"inherent":[195],"formulation,":[200],"propose":[202],"novel":[204],"barycenter":[205,209],"formulation:":[206],"finding":[207],"posterior":[212,247],"distribution":[213],"histories,":[215],"which":[216],"provably":[218],"stable":[219],"against":[220],"further":[228],"develop":[229],"effective":[231],"solver":[232],"named":[233],"DIffusion":[234],"hiTting":[235],"Times":[236],"Optimal":[238],"proposal":[239,272],"(DITTO)":[240],"by":[241],"reducing":[242],"problem":[244],"estimating":[246],"expected":[248],"hitting":[249],"times":[250],"via":[251],"Metropolis-Hastings":[253],"Markov":[254],"chain":[255],"Monte":[256],"Carlo":[257],"method":[258],"(M-H":[259],"MCMC)":[260],"employing":[262],"unsupervised":[264],"graph":[265],"neural":[266],"network":[267],"learn":[269],"optimal":[271],"accelerate":[274],"convergence":[276],"M-H":[278],"MCMC.":[279],"conduct":[281],"extensive":[282],"experiments":[283],"demonstrate":[285],"efficacy":[287],"proposed":[290],"method.":[291],"Our":[292],"code":[293],"at":[296,303],"https://github.com/q-rz/KDD23-DITTO.":[297],"The":[298],"appendix":[299],"can":[300],"be":[301],"found":[302],"https://arxiv.org/abs/2306.00488.":[304]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}