Show simple item record

dc.contributor.authorHao, F
dc.contributor.authorZhang, J
dc.contributor.authorDuan, Z
dc.contributor.authorZhao, L
dc.contributor.authorGuo, L
dc.contributor.authorPark, DS
dc.date.accessioned2020-07-09T12:38:29Z
dc.date.issued2020-01-29
dc.description.abstractWith advanced development of Internet communication and ubiquitous computing, Social Networks are providing an important information channel for smart city construction. Therefore, analyzing Location-based Social Network is a very valuable work in achieving reasonable urban zoning. In Social Networks, a main purpose of prestige assessment is to extract influential users who are regarded as the key nodes for community detection from Onine Social Networks (OSNs). However, social relationships of users are rarely used to evaluate the popularity of physical locations and zone physical locations. In order to achieve urban area function zoning by evaluating the prestige of geographic regions based on user relationships in Location based Social Networks (LBSNs), this paper proposes a Prestige Density-Based Spatial Clustering of Applications with Noise algorithm (P-DBSCAN) by improving the existing DBSCAN algorithm. Specifically, the algorithm first calculates the centrality of users in the social network, and then converts the centrality of users into the location-centrality through the users' check-in data. After the centrality of each location is obtained, the discrete locations are clustered according to four constraints of the given radius. After clustering, the result of urban area function zoning can be achieved. Extensive experiments are conducted for demonstrating the effectiveness of our proposed algorithm in this paper. In addition, the visualization results reveal the correctness of our proposed approach.en_GB
dc.description.sponsorshipNational Natural Science Foundation of Chinaen_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipNatural Science Basic Research Plan in Shaanxi Province of Chinaen_GB
dc.description.sponsorshipFund Program for the Scientific Activities of Selected Returned Overseas Professionals in Shaanxi Provinceen_GB
dc.description.sponsorshipMinistry of Science and ICT (MSIT), South Koreaen_GB
dc.description.sponsorshipNational Research Foundation of Koreaen_GB
dc.identifier.citationVol. 8, pp. 23487 - 23495en_GB
dc.identifier.doi10.1109/ACCESS.2020.2970192
dc.identifier.grantnumber61702317en_GB
dc.identifier.grantnumberH2020-MSCA-IF-2018-840922en_GB
dc.identifier.grantnumber2019JM-379en_GB
dc.identifier.grantnumber2017024en_GB
dc.identifier.grantnumberIITP-2019-2014-1-00720en_GB
dc.identifier.grantnumber2017R1A2B1008421en_GB
dc.identifier.urihttp://hdl.handle.net/10871/121859
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_GB
dc.rightsOpen access. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/en_GB
dc.subjectSocial networking (online)en_GB
dc.subjectClustering algorithmsen_GB
dc.subjectUrban areasen_GB
dc.subjectSTEMen_GB
dc.subjectComputer scienceen_GB
dc.subjectData miningen_GB
dc.subjectMobile handsetsen_GB
dc.titleUrban area function zoning based on user relationships in location-based social networksen_GB
dc.typeArticleen_GB
dc.date.available2020-07-09T12:38:29Z
dc.descriptionThis is the final version. Available on open access from IEEE via the DOI in this recorden_GB
dc.identifier.eissn2169-3536
dc.identifier.journalIEEE Accessen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-01-13
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-01-13
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-07-09T12:34:13Z
refterms.versionFCDVoR
refterms.dateFOA2020-07-09T12:38:34Z
refterms.panelBen_GB
refterms.depositExceptionpublishedGoldOA


Files in this item

This item appears in the following Collection(s)

Show simple item record

Open access. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's licence is described as Open access. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/