{"id":"https://openalex.org/W2065943812","doi":"https://doi.org/10.1109/geoinformatics.2014.6950806","title":"Analysis of Guangzhou metro network based on L-space and P-space using complex network","display_name":"Analysis of Guangzhou metro network based on L-space and P-space using complex network","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2065943812","doi":"https://doi.org/10.1109/geoinformatics.2014.6950806","mag":"2065943812"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2014.6950806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2014.6950806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd International Conference on Geoinformatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100350078","display_name":"Yihan Zhang","orcid":"https://orcid.org/0000-0002-6706-0257"},"institutions":[{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]},{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yihan Zhang","raw_affiliation_strings":["School of Geography and Tourism, Guangdong University of Finance and Economics, Guangzhou, China","School of Geography and Tourism, Guangdong University of Finance and Economics, 21 Luntou RD., Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Tourism, Guangdong University of Finance and Economics, Guangzhou, China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]},{"raw_affiliation_string":"School of Geography and Tourism, Guangdong University of Finance and Economics, 21 Luntou RD., Guangzhou, China","institution_ids":["https://openalex.org/I201459984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102023755","display_name":"Qingnian Zhang","orcid":"https://orcid.org/0009-0001-0527-7231"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingnian Zhang","raw_affiliation_strings":["School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","School of Geography and Planning, Sun Yat-sen University; Guangzhou China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-sen University; Guangzhou China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047972081","display_name":"Qiao Jigang","orcid":null},"institutions":[{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]},{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jigang Qiao","raw_affiliation_strings":["School of Geography and Tourism, Guangdong University of Finance and Economics, Guangzhou, China","School of Geography and Tourism, Guangdong University of Finance and Economics, 21 Luntou RD., Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Tourism, Guangdong University of Finance and Economics, Guangzhou, China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]},{"raw_affiliation_string":"School of Geography and Tourism, Guangdong University of Finance and Economics, 21 Luntou RD., Guangzhou, China","institution_ids":["https://openalex.org/I201459984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100350078"],"corresponding_institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"],"apc_list":null,"apc_paid":null,"fwci":0.469,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65178036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9679999947547913,"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/T14446","display_name":"Civil and Geotechnical Engineering Research","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/2200","display_name":"General Engineering"},"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/degree","display_name":"Degree (music)","score":0.7389734387397766},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5218093395233154},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5020451545715332},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.47093191742897034},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.46121394634246826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4464261531829834},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43694016337394714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4306483864784241},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.4232359230518341},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4136388301849365},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.34189659357070923},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.17473378777503967},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.17401471734046936},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08845356106758118},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.0845021903514862}],"concepts":[{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.7389734387397766},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5218093395233154},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5020451545715332},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.47093191742897034},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.46121394634246826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4464261531829834},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43694016337394714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4306483864784241},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.4232359230518341},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4136388301849365},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.34189659357070923},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.17473378777503967},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.17401471734046936},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08845356106758118},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0845021903514862},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2014.6950806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2014.6950806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1972668007","https://openalex.org/W1996044914","https://openalex.org/W2008620264","https://openalex.org/W2030512974","https://openalex.org/W2032466664","https://openalex.org/W2042776683","https://openalex.org/W2070607162","https://openalex.org/W2079744127","https://openalex.org/W2093558554","https://openalex.org/W2111815458","https://openalex.org/W2112090702","https://openalex.org/W2115723743","https://openalex.org/W2123561447","https://openalex.org/W2352977252","https://openalex.org/W2366169928","https://openalex.org/W2371549227","https://openalex.org/W2385427389","https://openalex.org/W2388453714","https://openalex.org/W2390774606","https://openalex.org/W3105251471"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2399035783"],"abstract_inverted_index":{"In":[0,57,105],"this":[1],"paper,":[2],"two":[3],"different":[4],"topology":[5],"types":[6],"(including":[7],"L-space":[8,58],"and":[9,30,91,102],"P-space)":[10],"were":[11,23,48],"introduced":[12],"to":[13,144],"build":[14],"the":[15,36,52,60,77,87,92,108,114,120,128,133,146],"networks":[16],"for":[17,50],"Guangzhou":[18,55,81,116],"metro.":[19,56,82],"Some":[20],"important":[21],"parameters":[22],"calculated,":[24],"such":[25,72],"as,":[26,73],"degree,":[27,71],"clustering":[28],"coefficient":[29],"average":[31,39,42,45,61,84,88,93,109,129],"distance":[32,131],"of":[33,54,80,123,132],"network.":[34],"And":[35],"key":[37,78],"stations,":[38,115],"shortest":[40,43,85,94,130],"distance,":[41,86],"time-spent,":[44],"transfer":[46,141],"times":[47,143],"obtained":[49],"analyzing":[51],"characteristic":[53],"networks,":[59,107],"degree":[62,110,122],"is":[63,99,111,135],"2.092.":[64],"Only":[65],"a":[66],"few":[67],"stations":[68,79,90,98],"have":[69],"high":[70],"Tiyuxilu.":[74],"They":[75],"become":[76],"The":[83],"pass-by":[89],"time-spent":[95],"between":[96],"any":[97],"21.08km,":[100],"13.44":[101],"27.38min":[103],"separately.":[104],"P-space":[106],"40.":[112],"Among":[113],"railway":[117],"station":[118],"has":[119],"largest":[121],"92.":[124],"Experiments":[125],"showed":[126],"that":[127,137],"network":[134],"2.35,":[136],"is,":[138],"it":[139],"need":[140],"1.35":[142],"reach":[145],"other":[147],"station.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}