{"id":"https://openalex.org/W2885741586","doi":"https://doi.org/10.1109/bigdata.2018.8622041","title":"Spatio-temporal prediction of crimes using network analytic approach","display_name":"Spatio-temporal prediction of crimes using network analytic approach","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2885741586","doi":"https://doi.org/10.1109/bigdata.2018.8622041","mag":"2885741586"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1808.06241","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086598091","display_name":"Saroj Dash","orcid":"https://orcid.org/0000-0002-7074-7965"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saroj Kumar Dash","raw_affiliation_strings":["School of Computing, Clemson University"],"affiliations":[{"raw_affiliation_string":"School of Computing, Clemson University","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057164472","display_name":"Ilya Safro","orcid":"https://orcid.org/0000-0001-6284-7408"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ilya Safro","raw_affiliation_strings":["School of Computing, Clemson University"],"affiliations":[{"raw_affiliation_string":"School of Computing, Clemson University","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024571113","display_name":"Ravisutha Srinivasamurthy","orcid":null},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravisutha Sakrepatna Srinivasamurthy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clemson University","[Department of Electrical and Computer Engineering, Clemson University]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clemson University","institution_ids":["https://openalex.org/I8078737"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, Clemson University]","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086598091"],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":0.5924,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79244202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1912","last_page":"1917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.960099995136261,"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"}},"topics":[{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.960099995136261,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9226999878883362,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9010000228881836,"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/government","display_name":"Government (linguistics)","score":0.6398938298225403},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.613166868686676},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5053043961524963},{"id":"https://openalex.org/keywords/criminology","display_name":"Criminology","score":0.4774225950241089},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4545832872390747},{"id":"https://openalex.org/keywords/regional-science","display_name":"Regional science","score":0.33535999059677124},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.25997424125671387},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.16253316402435303}],"concepts":[{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.6398938298225403},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.613166868686676},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5053043961524963},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.4774225950241089},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4545832872390747},{"id":"https://openalex.org/C148383697","wikidata":"https://www.wikidata.org/wiki/Q1781695","display_name":"Regional science","level":1,"score":0.33535999059677124},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.25997424125671387},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.16253316402435303},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/bigdata.2018.8622041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1808.06241","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.06241","pdf_url":"https://arxiv.org/pdf/1808.06241","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"mag:2885741586","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1808.06241","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1808.06241","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1808.06241","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1808.06241","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.06241","pdf_url":"https://arxiv.org/pdf/1808.06241","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2885741586.pdf","grobid_xml":"https://content.openalex.org/works/W2885741586.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1565467437","https://openalex.org/W1952913709","https://openalex.org/W1967470069","https://openalex.org/W2018105456","https://openalex.org/W2147876157","https://openalex.org/W2148919605","https://openalex.org/W2153635508","https://openalex.org/W2161984370","https://openalex.org/W2579662346","https://openalex.org/W2585135934","https://openalex.org/W2739403857","https://openalex.org/W2963587534","https://openalex.org/W3171951300","https://openalex.org/W4233588482","https://openalex.org/W6680532697","https://openalex.org/W6684921222","https://openalex.org/W6836096821"],"related_works":["https://openalex.org/W3171951300","https://openalex.org/W2963440212","https://openalex.org/W3209608923","https://openalex.org/W3080961455","https://openalex.org/W3128723476","https://openalex.org/W2944394909","https://openalex.org/W3045761620","https://openalex.org/W2945971450","https://openalex.org/W3005901066","https://openalex.org/W2906783407","https://openalex.org/W2744069501","https://openalex.org/W2157018484","https://openalex.org/W3133855146","https://openalex.org/W2248080209","https://openalex.org/W2795201205","https://openalex.org/W3166427682","https://openalex.org/W2802493606","https://openalex.org/W2904794872","https://openalex.org/W2348768132","https://openalex.org/W2779740500"],"abstract_inverted_index":{"It":[0],"is":[1,70,151],"quite":[2],"evident":[3],"that":[4,34,132],"majority":[5],"of":[6,18,37,50,138,144,149,161,172,177,185],"the":[7,19,51,54,64,98,127,145,147,164],"population":[8,39,52],"lives":[9],"in":[10,15,27,40,43,53,58,66,183],"urban":[11,44,67],"area":[12],"today":[13],"than":[14],"any":[16],"time":[17],"human":[20],"history.":[21],"This":[22],"trend":[23],"seems":[24],"to":[25,61,72,122],"increase":[26,65],"coming":[28],"years.":[29],"A":[30],"study":[31],"[5]":[32],"says":[33],"nearly":[35,48],"80.7%":[36],"total":[38,159],"USA":[41],"stays":[42],"area.":[45],"By":[46,79],"2030":[47],"60%":[49],"world":[55],"will":[56],"live":[57],"or":[59],"move":[60],"cities.":[62],"With":[63],"population,":[68],"it":[69],"important":[71],"keep":[73],"an":[74],"eye":[75],"on":[76],"criminal":[77,124],"activities.":[78],"doing":[80],"so,":[81],"governments":[82],"can":[83],"enforce":[84],"intelligent":[85],"policing":[86],"systems":[87],"and":[88,93,179],"hence":[89],"many":[90],"government":[91],"agencies":[92],"local":[94],"authorities":[95],"have":[96],"made":[97],"crime":[99,110],"data":[100,111,139],"publicly":[101],"available.":[102],"In":[103],"this":[104],"paper,":[105],"we":[106,134],"analyze":[107],"Chicago":[108,166],"city":[109],"fused":[112],"with":[113],"other":[114],"social":[115],"information":[116],"sources":[117],"using":[118],"network":[119],"analytic":[120],"techniques":[121],"predict":[123,158,170],"activity":[125],"for":[126,163,174,180],"next":[128],"year.":[129],"We":[130],"observe":[131],"as":[133],"add":[135],"more":[136],"layers":[137],"which":[140],"represent":[141],"different":[142,181],"aspects":[143],"society,":[146],"quality":[148],"prediction":[150,154],"improved.":[152],"Our":[153],"models":[155],"not":[156],"just":[157],"number":[160,171],"crimes":[162,173,178],"whole":[165],"city,":[167],"rather":[168],"they":[169],"all":[175],"types":[176],"regions":[182],"City":[184],"Chicago.":[186]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
