{"id":"https://openalex.org/W4414624578","doi":"https://doi.org/10.1007/s44163-025-00474-8","title":"Decision model of college students\u2019 tourism consumption based on mobile social network","display_name":"Decision model of college students\u2019 tourism consumption based on mobile social network","publication_year":2025,"publication_date":"2025-09-30","ids":{"openalex":"https://openalex.org/W4414624578","doi":"https://doi.org/10.1007/s44163-025-00474-8"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00474-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00474-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00474-8.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00474-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114181045","display_name":"B Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102741","display_name":"Jiangsu Vocational College of Medicine","ror":"https://ror.org/01jzst437","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102741"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baimei Xu","raw_affiliation_strings":["College of Continuing Education, Jiangsu Vocational College of Finance & Economics, Huaian, 223003, China"],"affiliations":[{"raw_affiliation_string":"College of Continuing Education, Jiangsu Vocational College of Finance & Economics, Huaian, 223003, China","institution_ids":["https://openalex.org/I4210102741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5114181045"],"corresponding_institution_ids":["https://openalex.org/I4210102741"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":2.5973,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92036088,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.9933000206947327,"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":0.9933000206947327,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9829000234603882,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.6953999996185303},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.692799985408783},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.5483999848365784},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5322999954223633},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4375999867916107},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.43619999289512634},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.37470000982284546},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.37369999289512634},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.35280001163482666}],"concepts":[{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.6953999996185303},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.692799985408783},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.5483999848365784},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5322999954223633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5302000045776367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47360000014305115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.438400000333786},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4375999867916107},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.37470000982284546},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C202185110","wikidata":"https://www.wikidata.org/wiki/Q6031086","display_name":"Information gain ratio","level":3,"score":0.3407000005245209},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.33079999685287476},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2874999940395355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C115988155","wikidata":"https://www.wikidata.org/wiki/Q3262192","display_name":"Decision problem","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2587999999523163},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.2513999938964844}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00474-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00474-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00474-8.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2a6456e8a42143469d17bc9897d3c679","is_oa":true,"landing_page_url":"https://doaj.org/article/2a6456e8a42143469d17bc9897d3c679","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-19 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00474-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00474-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00474-8.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414624578.pdf","grobid_xml":"https://content.openalex.org/works/W4414624578.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2782225523","https://openalex.org/W2810943906","https://openalex.org/W2912371381","https://openalex.org/W2940010972","https://openalex.org/W2972609102","https://openalex.org/W2988729496","https://openalex.org/W2997116410","https://openalex.org/W3004933906","https://openalex.org/W3013734981","https://openalex.org/W3039898056","https://openalex.org/W3072681182","https://openalex.org/W3087192809","https://openalex.org/W3094608477","https://openalex.org/W3094948551","https://openalex.org/W3101454826","https://openalex.org/W3124590480","https://openalex.org/W3159623433","https://openalex.org/W3199959176","https://openalex.org/W3205807440","https://openalex.org/W4206280001","https://openalex.org/W4206323073","https://openalex.org/W4220850595","https://openalex.org/W4226503613","https://openalex.org/W4285310467"],"related_works":[],"abstract_inverted_index":{"The":[0,14,139,161,177],"advent":[1],"of":[2,10,34,44,72,98,107,145,159,163,175,181,232],"the":[3,8,11,31,38,42,68,115,118,123,131,143,146,164,182,196,202,212,230],"internet":[4],"age":[5],"has":[6,19,47],"accelerated":[7],"transformation":[9],"Internet":[12],"economy.":[13],"\u201cInternet":[15],"plus":[16],"tourism\u201d":[17],"model":[18,71,80,93,135,149,168,186,214],"created":[20],"unlimited":[21],"development":[22],"opportunities":[23],"for":[24,60,128,215],"online":[25],"companies":[26],"and":[27,86,104,192,201],"tourism":[28,35,50,69,218,233],"enterprises.":[29],"However,":[30],"vast":[32],"amount":[33],"information":[36],"on":[37,67,75,83,189,221],"internet,":[39],"coupled":[40],"with":[41,95,150,155,171],"diversity":[43],"consumer":[45],"needs,":[46],"made":[48],"predicting":[49,61],"consumption":[51,62,219,234],"decisions":[52],"more":[53,57],"difficult.":[54],"To":[55],"obtain":[56],"accurate":[58],"results":[59,140],"decisions,":[63],"this":[64],"research":[65],"focuses":[66],"decision":[70,213],"college":[73,216],"students":[74],"mobile":[76,222],"social":[77,223],"networks.":[78],"This":[79],"is":[81],"based":[82,188,220],"ensemble":[84,193],"learning":[85,88,191,194],"feature":[87,127,190],"methods":[89],"to":[90,136],"build":[91],"a":[92],"structure":[94],"two":[96,183],"layers":[97],"extreme":[99,132,165],"gradient":[100,108,133,147,166],"boosting":[101,109,134,148,167],"base":[102],"classifier":[103],"one":[105],"layer":[106,184],"+":[110],"categorical":[111,151],"features":[112,152],"classifier.":[113],"Then,":[114],"study":[116],"employs":[117],"greedy":[119],"method,":[120],"which":[121],"uses":[122],"maximum":[124,203],"node":[125],"gain":[126],"splitting,":[129],"enabling":[130],"fit":[137],"quickly.":[138],"indicated":[141],"that":[142,211],"accuracy":[144,162,204],"was":[153,169,199,206],"91.71%,":[154],"an":[156,172],"AUC":[157,173],"value":[158,174,180,228],"0.865.":[160],"86.27%,":[170],"0.783.":[176],"minimum":[178],"loss":[179],"integration":[185],"(TLIM)":[187],"in":[195,229],"training":[197],"set":[198],"0.225,":[200],"rate":[205],"91.3%.":[207],"These":[208],"findings":[209],"suggest":[210],"students\u2019":[217],"networks":[224],"holds":[225],"significant":[226],"reference":[227],"field":[231],"decision-making.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
