{"id":"https://openalex.org/W6929807280","doi":"https://doi.org/10.5075/epfl-thesis-7186","title":"Discrete-Choice Mining of Social Processes","display_name":"Discrete-Choice Mining of Social Processes","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W6929807280","doi":"https://doi.org/10.5075/epfl-thesis-7186"},"language":"en","primary_location":{"id":"pmh:oai:infoscience.epfl.ch:286796","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/179445","pdf_url":"http://infoscience.epfl.ch/record/286796","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"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":"doctoral thesis"},"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/286796","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kristof, Victor","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kristof, Victor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.2061000019311905,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.2061000019311905,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.06480000168085098,"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":0.06199999898672104,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.30649998784065247},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.3052000105381012},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2800999879837036},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.2750000059604645},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.27160000801086426},{"id":"https://openalex.org/keywords/staring","display_name":"Staring","score":0.26579999923706055}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26750001311302185},{"id":"https://openalex.org/C2778949103","wikidata":"https://www.wikidata.org/wiki/Q600717","display_name":"Staring","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.24979999661445618}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:infoscience.epfl.ch:286796","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/179445","pdf_url":"http://infoscience.epfl.ch/record/286796","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"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":"doctoral thesis"},{"id":"doi:10.5075/epfl-thesis-7186","is_oa":true,"landing_page_url":"https://doi.org/10.5075/epfl-thesis-7186","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dissertation"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:286796","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/179445","pdf_url":"http://infoscience.epfl.ch/record/286796","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"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":"doctoral thesis"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.5084138512611389}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6929807280.pdf","grobid_xml":"https://content.openalex.org/works/W6929807280.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Poor":[0],"decisions":[1],"and":[2,26,41,45,86,95,108,133,143,149,170,173,179,202,204,214,220,236,243,253,258,265,287,290,355,359,412],"selfish":[3],"behaviors":[4],"give":[5],"rise":[6,28],"to":[7,65,298,392,397],"seemingly":[8],"intractable":[9],"global":[10],"problems,":[11],"such":[12,126],"as":[13,127,181,183,340,381],"the":[14,21,27,80,114,121,130,134,141,232,268,288,321,329,349,370,378,382,407,440,470],"lack":[15],"of":[16,23,54,60,124,157,191,234,237,251,314,320,332,346,365,369,384,409,415,424,432,443,446],"transparency":[17],"in":[18,29,57,128,160,217,222,271,284,303,373],"democratic":[19],"processes,":[20,70],"spread":[22],"conspiracy":[24],"theories,":[25],"greenhouse":[30],"gas":[31],"emissions.":[32],"However,":[33],"people":[34,327],"are":[35],"more":[36],"predictable":[37],"than":[38],"we":[39,49,71,112,153,226,291,324,360,419],"think,":[40],"with":[42,89,146,187,450,463],"machine-learning":[43],"algorithms":[44],"sufficiently":[46],"large":[47],"datasets,":[48],"can":[50],"design":[51,420],"accurate":[52],"models":[53,85,101,145,449],"human":[55],"behavior":[56],"a":[58,155,188,295,310,341,362,385,421,429,444,465],"variety":[59],"settings.":[61],"In":[62],"this":[63,338,437],"thesis,":[64],"gain":[66],"insight":[67],"into":[68,208],"social":[69,115],"develop":[72,154,227,361,456],"highly":[73],"interpretable":[74],"probabilistic":[75,422],"choice-models.":[76],"We":[77,163,277,336,435,454],"draw":[78],"from":[79,274],"econometrics":[81],"literature":[82],"on":[83,281,294],"discrete-choice":[84],"combine":[87],"them":[88],"matrix":[90,147,241],"factorization":[91,148,242],"methods,":[92],"Bayesian":[93,386,474],"statistics,":[94],"generalized":[96,244],"linear":[97,245,387],"models.":[98,246],"These":[99],"predictive":[100],"enable":[102],"interpretability":[103],"through":[104],"their":[105,333],"learned":[106],"parameters":[107,383,442],"latent":[109,195],"factors.":[110],"First,":[111],"study":[113,325],"dynamics":[116],"behind":[117],"group":[118],"collaborations":[119],"for":[120,230],"collective":[122],"creation":[123],"content,":[125],"Wikipedia,":[129,218],"Linux":[131],"kernel,":[132],"European":[135,171,223],"Union":[136],"law-making":[137],"process.":[138],"By":[139],"combining":[140,240],"Bradley-Terry":[142],"Rasch":[144],"natural":[150],"language":[151],"processing,":[152],"model":[156,280,364,372,376,423],"edit":[158,192],"acceptance":[159],"peer-production":[161],"systems.":[162],"discover":[164],"controversial":[165],"components":[166,201],"(e.g.,":[167,176,211,262,348],"Wikipedia":[168,177],"articles":[169],"laws)":[172],"influential":[174],"users":[175,405],"editors":[178],"parliamentarians),":[180],"well":[182,207],"features":[184],"that":[185,404,427,461],"correlate":[186],"high":[189],"probability":[190],"acceptance.":[193],"The":[194,375],"representations":[196,250],"capture":[197,256,428],"non-linear":[198],"interactions":[199],"between":[200,344,351],"users,":[203],"they":[205],"cluster":[206],"different":[209],"topics":[210],"historical":[212],"figures":[213],"TV":[215],"characters":[216],"business":[219],"environment":[221],"laws).":[224],"Second,":[225],"an":[228,394,457,472],"algorithm":[229,248,396,460],"predicting":[231],"outcome":[233],"elections":[235],"referenda":[238],"by":[239,438],"Our":[247,401],"learns":[249,377],"votes":[252,302],"regions,":[254],"which":[255,389],"ideological":[257],"cultural":[259],"voting":[260,282],"patterns":[261],"liberal/conservative,":[263],"rural/urban),":[264],"it":[266,293],"predicts":[267],"vote":[269],"results":[270],"unobserved":[272],"regions":[273],"partial":[275],"observations.":[276],"test":[278],"our":[279,307],"data":[283,399],"Germany,":[285],"Switzerland,":[286],"US,":[289],"deploy":[292],"Web":[296],"platform":[297],"predict":[299],"Swiss":[300],"referendum":[301],"real-time.":[304],"On":[305],"average,":[306],"predictions":[308],"reach":[309],"mean":[311],"absolute":[312],"error":[313],"1%":[315],"after":[316],"observing":[317],"only":[318,464],"5%":[319],"regions.":[322],"Third,":[323],"how":[326],"perceive":[328],"carbon":[330],"footprint":[331],"day-to-day":[334],"actions.":[335,417],"cast":[337],"problem":[339,343],"comparison":[342],"pairs":[345],"actions":[347,411],"difference":[350],"flying":[352],"across":[353],"continents":[354],"using":[356],"household":[357],"appliances),":[358],"statistical":[363],"relative":[366],"comparisons":[367],"reminiscent":[368],"Thurstone":[371],"psychometrics.":[374],"users\u00e2":[379],"perception":[380],"regression,":[388],"enables":[390],"us":[391],"derive":[393],"active-learning":[395],"collect":[398],"efficiently.":[400],"experiments":[402],"show":[403],"overestimate":[406],"emissions":[408],"low-footprint":[410],"underestimate":[413],"those":[414],"high-footprint":[416],"Finally,":[418],"pairwise-comparison":[425,448],"outcomes":[426],"wide":[430],"range":[431],"time":[433],"dynamics.":[434],"achieve":[436],"replacing":[439],"static":[441],"class":[445],"popular":[447],"continuous-time":[451],"Gaussian":[452],"processes.":[453],"also":[455],"efficient":[458],"inference":[459],"computes,":[462],"few":[466],"linear-time":[467],"iterations":[468],"over":[469],"data,":[471],"approximate":[473],"posterior":[475],"distribution.":[476]},"counts_by_year":[],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2025-10-10T00:00:00"}