{"id":"https://openalex.org/W7216617709","doi":null,"title":"A Non-homogeneous Poisson Point Process Approach for Femicide Analysis in Italy","display_name":"A Non-homogeneous Poisson Point Process Approach for Femicide Analysis in Italy","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7216617709"},"language":"en","primary_location":{"id":"pmh:oai:iris.unisalento.it:11587/581366","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11587/581366","pdf_url":"https://iris.unisalento.it/bitstream/11587/581366/1/IFCS2026_Program%20Book_con_paper.pdf","source":{"id":"https://openalex.org/S7407055257","display_name":"AIRUS","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://iris.unisalento.it/bitstream/11587/581366/1/IFCS2026_Program%20Book_con_paper.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5155064961","display_name":"Ekaterina Ksiunova","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ksiunova, Ekaterina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152923935","display_name":"Sandra De Iaco","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"De Iaco, Sandra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005839517","display_name":"Veronica Distefano","orcid":"https://orcid.org/0000-0001-7592-5583","observed_orcids":["https://orcid.org/0000-0001-7592-5583"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Distefano, Veronica","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5154717769","display_name":"Monica PALMA","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Palma, Monica","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10380","display_name":"Intimate Partner and Family Violence","score":0.9018999934196472,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10380","display_name":"Intimate Partner and Family Violence","score":0.9018999934196472,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13605","display_name":"Homicide, Infanticide, and Child Abuse","score":0.05460000038146973,"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"}},{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.00989999994635582,"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/femicide","display_name":"femicide","score":0.9909999966621399},{"id":"https://openalex.org/keywords/gender-based-violence","display_name":"gender-based violence","score":0.8199999928474426},{"id":"https://openalex.org/keywords/violence-against-women","display_name":"violence against women","score":0.8949999809265137},{"id":"https://openalex.org/keywords/spatial-hotspots","display_name":"spatial hotspots","score":0.6370000243186951},{"id":"https://openalex.org/keywords/temporal-patterns","display_name":"temporal patterns","score":0.6359999775886536},{"id":"https://openalex.org/keywords/victim-and-perpetrator-characteristics","display_name":"victim and perpetrator characteristics","score":0.574999988079071},{"id":"https://openalex.org/keywords/italy","display_name":"Italy","score":0.3479999899864197},{"id":"https://openalex.org/keywords/campania","display_name":"Campania","score":0.5809999704360962}],"concepts":[{"id":"https://openalex.org/C2779500161","wikidata":"https://www.wikidata.org/wiki/Q1342425","display_name":"Femicide","level":5,"score":0.8697999715805054},{"id":"https://openalex.org/C50335755","wikidata":"https://www.wikidata.org/wiki/Q483247","display_name":"Phenomenon","level":2,"score":0.598800003528595},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.536300003528595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4620000123977661},{"id":"https://openalex.org/C2777351106","wikidata":"https://www.wikidata.org/wiki/Q49371","display_name":"Legislation","level":2,"score":0.41359999775886536},{"id":"https://openalex.org/C2776876444","wikidata":"https://www.wikidata.org/wiki/Q2845200","display_name":"Crime analysis","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38850000500679016},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.36910000443458557},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.36239999532699585},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3562999963760376},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3262999951839447},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.2992999851703644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29789999127388},{"id":"https://openalex.org/C169437150","wikidata":"https://www.wikidata.org/wiki/Q8458","display_name":"Human rights","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C198052957","wikidata":"https://www.wikidata.org/wiki/Q7079603","display_name":"Official statistics","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C2779784881","wikidata":"https://www.wikidata.org/wiki/Q602884","display_name":"Social phenomenon","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28290000557899475},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27230000495910645},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C522453465","wikidata":"https://www.wikidata.org/wiki/Q58327829","display_name":"Social research","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C2779919027","wikidata":"https://www.wikidata.org/wiki/Q62832","display_name":"Observatory","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:iris.unisalento.it:11587/581366","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11587/581366","pdf_url":"https://iris.unisalento.it/bitstream/11587/581366/1/IFCS2026_Program%20Book_con_paper.pdf","source":{"id":"https://openalex.org/S7407055257","display_name":"AIRUS","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unisalento.it:11587/581366","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11587/581366","pdf_url":"https://iris.unisalento.it/bitstream/11587/581366/1/IFCS2026_Program%20Book_con_paper.pdf","source":{"id":"https://openalex.org/S7407055257","display_name":"AIRUS","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Gender equality","score":1.0,"id":"https://metadata.un.org/sdg/5"},{"display_name":"Peace, justice, and strong institutions","score":0.9595999717712402,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/10"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7216617709.pdf","grobid_xml":"https://content.openalex.org/works/W7216617709.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4403816824","https://openalex.org/W2939282509","https://openalex.org/W53592380","https://openalex.org/W4212807770","https://openalex.org/W7171355096","https://openalex.org/W6922625856","https://openalex.org/W2795213310","https://openalex.org/W4410599444","https://openalex.org/W7211926884","https://openalex.org/W7164317730"],"abstract_inverted_index":{"The":[0,16,40,139,284,408,435,471,497],"phenomenon":[1,524],"of":[2,18,38,52,82,104,159,178,186,223,232,256,274,282,299,305,310,313,357,376,403,422,432,445,455,473,530],"femicide":[3,22,44,72],"is":[4,23,47],"a":[5,74,87,93,361,383,400],"truly":[6],"pandemic":[7],"issue":[8],"in":[9,34,45,170,248,296,382,395,457,460,490,519],"modern":[10],"society":[11],"and":[12,21,60,71,126,136,143,156,195,239,270,278,354,411],"requires":[13],"complex":[14],"analysis.":[15],"problem":[17],"gender-based":[19,69],"violence":[20,70,105],"currently":[24],"reported":[25],"by":[26,32,79,228,350],"the":[27,50,80,112,171,184,192,199,218,221,229,240,257,261,272,275,279,291,314,351,358,374,388,392,397,420,429,433,442,446,452,464,479,485,504,523],"media,":[28,332],"as":[29,31,399,508,514,516,527],"well":[30,515],"researchers":[33],"various":[35],"scientific":[36],"fields":[37],"knowledge.":[39],"statistical":[41],"survey":[42],"on":[43,68,92,220],"Italy":[46,165,249,462],"essential":[48],"for":[49,111,414,419,428],"development":[51],"effective":[53],"policies":[54],"aimed":[55],"at":[56],"preventing":[57],"this":[58,189,206,450,474],"crime":[59],"pro-tecting":[61],"women":[62,107],"who":[63],"suffer":[64],"violence.":[65],"Recent":[66],"literature":[67],"employs":[73],"multifaceted":[75],"methodological":[76],"framework.":[77],"Driven":[78,349],"challenge":[81],"quantifying":[83],"its":[84],"latent":[85],"nature":[86],"Bayesian":[88,390,409],"hierarchical":[89,389],"model":[90,436],"based":[91],"compound":[94],"Poisson":[95,416],"distribution":[96],"was":[97,266],"proposed":[98],"to":[99,129,153,237,252,268,289,440,477,502,521],"analyze":[100],"official":[101],"police":[102],"reports":[103],"against":[106,225],"while":[108],"explicitly":[109],"accounting":[110],"under-reporting":[113],"mechanism":[114],"[9].":[115],"Other":[116],"studies":[117],"applied":[118],"Social":[119],"Network":[120],"Analysis":[121],"leverages":[122],"bipar-":[123],"tite":[124],"graphs":[125],"QuaBiMo":[127],"algorithms":[128,150],"uncover":[130],"relational":[131],"criminal":[132,347],"patterns":[133],"between":[134],"perpetrators":[135],"motives":[137],"[6].":[138],"supervised":[140],"Machine":[141],"Learning":[142],"Natural":[144],"Language":[145],"Processing":[146],"-":[147],"specifically":[148],"BERT":[149],"were":[151,287],"used":[152,427],"perform":[154],"sentiment":[155],"emotion":[157],"analysis":[158,185,486],"social":[160],"media":[161],"Big":[162],"Data":[163],"[3].":[164],"has":[166,367,425,437,468],"recently":[167],"demonstrated":[168],"advances":[169],"regulatory":[172],"framework":[173,366],"under":[174],"law":[175],"No.":[176],"181":[177],"December":[179],"2,":[180],"2025":[181],"[5].":[182],"Through":[183],"pre-enactment":[187],"data":[188,212,258],"study":[190,431],"identifies":[191],"spatial":[193],"hotspot":[194],"structural":[196],"profiles":[197],"that":[198,488],"new":[200],"legislation":[201],"must":[202],"address.":[203],"To":[204],"do":[205],"there":[207],"have":[208],"been":[209,368,426,438,469],"combined":[210],"open":[211],"arising":[213],"from":[214,331],"dif-":[215],"ferent":[216],"sources:":[217],"Observatory":[219,241],"Phenomenon":[222],"Violence":[224],"Women":[226],"created":[227],"Regional":[230],"Council":[231],"Campania":[233],"[7]":[234],"(from":[235,250],"2018":[236],"2023)":[238],"NUDM":[242],"(*Non":[243],"Una":[244],"Di":[245],"Meno)":[246],"[8]":[247],"2020":[251],"2025).":[253],"As":[254],"part":[255],"pre-processing":[259],"procedures,":[260],"FemminicidioItalia.info":[262],"[4]":[263],"plat-":[264],"form":[265],"employed":[267],"cross-reference":[269],"validate":[271],"accuracy":[273],"victims\u2019":[276],"ages":[277],"exact":[280],"dates":[281],"death.":[283],"following":[285],"variables":[286],"obtained":[288],"reveal":[290],"real":[292],"situation":[293],"with":[294,325,379],"femicides":[295,456,495],"Italy:":[297],"method":[298,475],"murder,":[300],"macro-regions,":[301],"city,":[302],"geographical":[303],"coordinates":[304],"death":[306],"place,":[307],"province,":[308],"date":[309],"death,":[311],"day":[312],"week,":[315],"holidays,":[316],"year,":[317],"month,":[318],"victim\u2019s":[319,327],"nationality,":[320,335],"alleged":[321,333,336,339,342,345],"perpetrator":[322],"(relation-":[323],"ship":[324],"victim),":[326],"disability,":[328],"disability":[329],"description":[330],"perpetrator\u2019s":[334,337,340,343,346],"age,":[338],"suicide,":[341],"occupation,":[344],"record.":[348],"spatial,":[352],"temporal,":[353],"descriptive":[355],"structure":[356,444],"available":[359],"dataset,":[360],"marked":[362],"spatio-temporal":[363],"point":[364,417],"process":[365,375],"adopted":[369],"[2].":[370],"This":[371],"approach":[372],"describes":[373],"discrete":[377],"events":[378],"several":[380],"characteristics":[381],"continuous":[384],"space-time":[385],"domain.":[386],"Following":[387],"approach,":[391],"methodology":[393],"consists":[394],"representing":[396],"intensity":[398,453,481],"finite":[401],"mixture":[402],"ex-":[404],"ponential":[405],"family":[406],"components.":[407,482],"modeling":[410],"decision":[412],"theory":[413],"non-homogeneous":[415],"processes":[418],"estimation":[421],"parameters":[423],"[1]":[424],"case":[430,451],"femicides.":[434],"generalized":[439],"include":[441],"temporal":[443],"component":[447],"parameters.":[448],"In":[449,483],"surface":[454],"some":[458],"regions":[459],"Northern":[461],"during":[463],"selected":[465],"period":[466],"2020-2022":[467],"estimated.":[470],"application":[472],"helps":[476],"capture":[478],"high":[480],"particular,":[484],"indicates":[487],"neighborhoods":[489],"urban":[491],"areas":[492],"contain":[493],"large":[494],"clusters.":[496],"next":[498],"step":[499],"could":[500],"be":[501],"integrate":[503],"socio-demographic":[505],"information":[506],"such":[507],"eco-":[509],"nomic":[510],"instability,":[511],"privacy":[512],"concerns":[513],"education":[517],"level":[518],"order":[520],"evaluate":[522],"not":[525],"only":[526],"an":[528],"effect":[529],"gender-power":[531],"unbalance.":[532]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2026-10-03T00:00:00"}
