{"id":"https://openalex.org/W4382046145","doi":"https://doi.org/10.1145/3598438.3598460","title":"Research Hotspots and Visual Analysis of Rural China Based on TF-IDF Algorithm","display_name":"Research Hotspots and Visual Analysis of Rural China Based on TF-IDF Algorithm","publication_year":2022,"publication_date":"2022-12-09","ids":{"openalex":"https://openalex.org/W4382046145","doi":"https://doi.org/10.1145/3598438.3598460"},"language":"en","primary_location":{"id":"doi:10.1145/3598438.3598460","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3598438.3598460","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3598438.3598460?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3598438.3598460?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108764536","display_name":"Jia Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Xiang","raw_affiliation_strings":["Wuhan Business University, China"],"raw_orcid":"https://orcid.org/0000-0002-3488-345X","affiliations":[{"raw_affiliation_string":"Wuhan Business University, China","institution_ids":["https://openalex.org/I4210111616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108764536"],"corresponding_institution_ids":["https://openalex.org/I4210111616"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3859996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2016","issue":null,"first_page":"190","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.17399999499320984,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.17399999499320984,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.17319999635219574,"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/T13647","display_name":"AI and Big Data Applications","score":0.15629999339580536,"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/china","display_name":"China","score":0.8864621520042419},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6743824481964111},{"id":"https://openalex.org/keywords/rural-area","display_name":"Rural area","score":0.6358961462974548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5603228807449341},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4335598349571228},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32355207204818726},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2525748610496521},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.20886045694351196}],"concepts":[{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.8864621520042419},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6743824481964111},{"id":"https://openalex.org/C129047720","wikidata":"https://www.wikidata.org/wiki/Q175185","display_name":"Rural area","level":2,"score":0.6358961462974548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5603228807449341},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4335598349571228},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32355207204818726},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2525748610496521},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.20886045694351196},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3598438.3598460","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3598438.3598460","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3598438.3598460?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3598438.3598460","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3598438.3598460","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3598438.3598460?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382046145.pdf","grobid_xml":"https://content.openalex.org/works/W4382046145.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W4246949166"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W2189613078","https://openalex.org/W2586219255","https://openalex.org/W2547096368"],"abstract_inverted_index":{"In":[0],"the":[1,37,45,73,83,90,107,114,118,123,132,140,144],"era":[2],"of":[3,8,21,29,40,60,70,75,85,110,116,127,135,142,146],"network":[4],"information,":[5],"visualization":[6,91,145],"analysis":[7,20,92,105],"data":[9,22,84],"flow":[10,23],"is":[11,24],"an":[12],"effective":[13],"and":[14,87,98,120,125,138],"common":[15],"means":[16],"at":[17],"present.":[18],"Visualization":[19],"adopted":[25],"in":[26,72,113,122,139],"all":[27],"walks":[28],"life":[30],"to":[31,49,101,130],"help":[32],"solve":[33,50],"practical":[34],"problems.":[35],"With":[36],"continuous":[38],"development":[39,126,134],"China's":[41],"national":[42],"strength,":[43],"as":[44],"country's":[46],"main":[47],"policy":[48],"rural":[51],"problems":[52],"\u2013":[53],"China":[54,76,111,128,136,147],"countryside":[55,129,148],"has":[56],"entered":[57],"a":[58,68],"period":[59],"vigorous":[61],"development,":[62],"many":[63],"scholars":[64],"have":[65],"also":[66],"produced":[67],"lot":[69],"achievements":[71],"study":[74],"countryside.":[77],"This":[78],"paper":[79],"mainly":[80],"relies":[81],"on":[82,106],"CNKI":[86],"comprehensively":[88],"uses":[89],"software":[93],"Cite":[94],"Spac,":[95],"TF-IDF":[96],"algorithm":[97],"other":[99],"methods":[100,119],"carry":[102],"out":[103],"visual":[104],"research":[108],"hotspots":[109],"countryside,":[112,137],"hope":[115,141],"finding":[117],"rules":[121],"construction":[124],"promote":[131],"better":[133],"advancing":[143],"research.":[149]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}