{"id":"https://openalex.org/W4409557356","doi":"https://doi.org/10.3390/bdcc9040102","title":"Efficient Trajectory Prediction Using Check-In Patterns in Location-Based Social Network","display_name":"Efficient Trajectory Prediction Using Check-In Patterns in Location-Based Social Network","publication_year":2025,"publication_date":"2025-04-17","ids":{"openalex":"https://openalex.org/W4409557356","doi":"https://doi.org/10.3390/bdcc9040102"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc9040102","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9040102","pdf_url":"https://www.mdpi.com/2504-2289/9/4/102/pdf?version=1744857358","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/9/4/102/pdf?version=1744857358","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037179120","display_name":"Eman M. Bahgat","orcid":null},"institutions":[{"id":"https://openalex.org/I107720978","display_name":"Ain Shams University","ror":"https://ror.org/00cb9w016","country_code":"EG","type":"education","lineage":["https://openalex.org/I107720978"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Eman M. Bahgat","raw_affiliation_strings":["Faculty of Computer and Information Science, Ain Shams University, Cairo 11241, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, Ain Shams University, Cairo 11241, Egypt","institution_ids":["https://openalex.org/I107720978"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076201140","display_name":"Alshaimaa Abo\u2010alian","orcid":"https://orcid.org/0000-0002-0609-2300"},"institutions":[{"id":"https://openalex.org/I107720978","display_name":"Ain Shams University","ror":"https://ror.org/00cb9w016","country_code":"EG","type":"education","lineage":["https://openalex.org/I107720978"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Alshaimaa Abo-alian","raw_affiliation_strings":["Faculty of Computer and Information Science, Ain Shams University, Cairo 11241, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, Ain Shams University, Cairo 11241, Egypt","institution_ids":["https://openalex.org/I107720978"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004352908","display_name":"Sherine Rady","orcid":"https://orcid.org/0000-0003-4991-966X"},"institutions":[{"id":"https://openalex.org/I107720978","display_name":"Ain Shams University","ror":"https://ror.org/00cb9w016","country_code":"EG","type":"education","lineage":["https://openalex.org/I107720978"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Sherine Rady","raw_affiliation_strings":["Faculty of Computer and Information Science, Ain Shams University, Cairo 11241, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, Ain Shams University, Cairo 11241, Egypt","institution_ids":["https://openalex.org/I107720978"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025438126","display_name":"Tarek F. Gharib","orcid":"https://orcid.org/0000-0003-0780-782X"},"institutions":[{"id":"https://openalex.org/I107720978","display_name":"Ain Shams University","ror":"https://ror.org/00cb9w016","country_code":"EG","type":"education","lineage":["https://openalex.org/I107720978"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Tarek F. Gharib","raw_affiliation_strings":["Faculty of Computer and Information Science, Ain Shams University, Cairo 11241, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, Ain Shams University, Cairo 11241, Egypt","institution_ids":["https://openalex.org/I107720978"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037179120"],"corresponding_institution_ids":["https://openalex.org/I107720978"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":4.3588,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92394933,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"9","issue":"4","first_page":"102","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7503061294555664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6341989040374756},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4765247106552124},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.42643728852272034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40735504031181335},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3778780400753021},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14968544244766235},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.10081124305725098}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7503061294555664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6341989040374756},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4765247106552124},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.42643728852272034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40735504031181335},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3778780400753021},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14968544244766235},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.10081124305725098},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc9040102","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9040102","pdf_url":"https://www.mdpi.com/2504-2289/9/4/102/pdf?version=1744857358","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2105b5c8e61447c59cc10ab1f81fad9c","is_oa":true,"landing_page_url":"https://doaj.org/article/2105b5c8e61447c59cc10ab1f81fad9c","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":"Big Data and Cognitive Computing, Vol 9, Iss 4, p 102 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc9040102","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9040102","pdf_url":"https://www.mdpi.com/2504-2289/9/4/102/pdf?version=1744857358","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409557356.pdf","grobid_xml":"https://content.openalex.org/works/W4409557356.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1972436494","https://openalex.org/W2001344462","https://openalex.org/W2012084072","https://openalex.org/W2770361534","https://openalex.org/W2790263849","https://openalex.org/W2889337896","https://openalex.org/W2944893650","https://openalex.org/W2945431268","https://openalex.org/W2999803985","https://openalex.org/W3004012538","https://openalex.org/W3015126766","https://openalex.org/W3034912136","https://openalex.org/W3040157551","https://openalex.org/W3048334589","https://openalex.org/W3083225819","https://openalex.org/W3084680042","https://openalex.org/W3110667453","https://openalex.org/W3120409033","https://openalex.org/W3135888516","https://openalex.org/W3210057532","https://openalex.org/W3211398996","https://openalex.org/W4306778587","https://openalex.org/W4323846862","https://openalex.org/W4360615229","https://openalex.org/W4380789881","https://openalex.org/W4385978585","https://openalex.org/W4390992984","https://openalex.org/W4400385961","https://openalex.org/W4404316031","https://openalex.org/W4404579893","https://openalex.org/W4405049990","https://openalex.org/W6791619126","https://openalex.org/W6870077200"],"related_works":["https://openalex.org/W2952662149","https://openalex.org/W2793616590","https://openalex.org/W2183090405","https://openalex.org/W2075666982","https://openalex.org/W2065835655","https://openalex.org/W3160699245","https://openalex.org/W2782955270","https://openalex.org/W2349928170","https://openalex.org/W1594712698","https://openalex.org/W2499535628"],"abstract_inverted_index":{"Location-based":[0],"social":[1],"networks":[2],"(LBSNs)":[3],"leverage":[4],"geo-location":[5],"technologies":[6],"to":[7,25,50,65,132,144,162,172,231],"connect":[8],"users":[9,15,24,63],"with":[10,152,191,199],"places,":[11],"events,":[12],"and":[13,32,67,89,99,159,214],"other":[14],"nearby.":[16],"Using":[17],"GPS":[18],"data,":[19],"platforms":[20],"like":[21],"Foursquare":[22],"enable":[23],"check":[26],"into":[27,92],"locations,":[28,31,150],"share":[29],"their":[30],"receive":[33],"location-based":[34],"recommendations.":[35],"A":[36],"significant":[37],"research":[38,77],"gap":[39,117],"in":[40,43,142],"LBSNs":[41],"lies":[42],"the":[44,61,68,79,97,174,181,192,196,200,203,226],"limited":[45],"exploration":[46],"of":[47,76,101,109,148,176,183],"users\u2019":[48],"tendencies":[49],"withhold":[51],"certain":[52],"location":[53,102,185],"data.":[54],"While":[55],"existing":[56],"studies":[57],"primarily":[58],"focus":[59],"on":[60,78],"locations":[62],"choose":[64],"disclose":[66],"activities":[69],"they":[70],"attend,":[71],"there":[72],"is":[73,140],"a":[74,105,222],"lack":[75],"hidden":[80,164,184],"or":[81],"intentionally":[82],"omitted":[83],"locations.":[84,135,165],"Understanding":[85],"these":[86],"concealed":[87],"patterns":[88,147],"integrating":[90],"them":[91],"predictive":[93],"models":[94,194],"could":[95],"enhance":[96],"accuracy":[98,205,229],"depth":[100],"prediction,":[103],"offering":[104],"more":[106],"comprehensive":[107],"view":[108],"user":[110,130],"mobility":[111],"behavior.":[112],"This":[113],"paper":[114],"solves":[115],"this":[116],"by":[118,209],"proposing":[119],"an":[120],"Associative":[121],"Hidden":[122],"Location":[123],"Trajectory":[124],"Prediction":[125],"model":[126],"(AHLTP)":[127],"that":[128],"leverages":[129],"trajectories":[131],"infer":[133],"unchecked":[134],"The":[136,187],"FP-growth":[137],"mining":[138,171],"technique":[139],"used":[141],"AHLTP":[143,167,189],"extract":[145],"frequent":[146],"check-in":[149,178],"combined":[151],"machine-learning":[153,193],"methods":[154],"such":[155],"as":[156],"K-nearest-neighbor,":[157],"gradient-boosted-trees,":[158],"deep":[160,215],"learning":[161,216],"classify":[163],"Moreover,":[166],"uses":[168],"association":[169],"rule":[170],"derive":[173],"frequency":[175],"successive":[177],"pairs":[179],"for":[180],"purpose":[182],"prediction.":[186],"proposed":[188],"integrated":[190],"classifies":[195],"data":[197],"effectively,":[198],"KNN":[201],"attaining":[202],"highest":[204],"at":[206,212,217],"98%,":[207],"followed":[208],"gradient-boosted":[210],"trees":[211],"96%":[213],"92%.":[218],"Comparative":[219],"study":[220],"using":[221],"real-world":[223],"dataset":[224],"demonstrates":[225],"model\u2019s":[227],"superior":[228],"compared":[230],"state-of-the-art":[232],"approaches.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}