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:: Volume 11, Issue 3 (12-2023) ::
jgit 2023, 11(3): 21-42 Back to browse issues page
A Simplex-based Enhancement of Property Graphs for Modelling Indoor LBSNs
Mahdi Rahimi * , Mohammad Reza Malek
K. N. Toosi University of Technology
Abstract:   (1035 Views)
A simplex-based enriched graph data model combining a discrete and place-based indoor spatial model with a location-based social network (LBSN) is presented in this research. The proposed model integrates similarity and relevance indicators from Q-analysis of simplicial complexes, allowing for easier data manipulation and discovering latent relationships in an LBSN. The proposed model also employs an indoor-specific metric measuring ease of access between pairwise indoor places to analyze spatial-social queries in indoor spaces. The experimental implementation of the proposed model demonstrates the quantitative efficiency of adopting graph-based representation as well as the qualitative excellence of simplex-based enrichment in processing spatial-social queries in indoor spaces, as shown in the results.
Keywords: location-based social network (LBSN), indoor space, graph database, simplex
Full-Text [PDF 1621 kb]   (284 Downloads)    
Type of Study: Research | Subject: GIS
Received: 2021/10/25 | Accepted: 2021/11/14 | Published: 2023/12/21
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Rahimi M, Malek M R. A Simplex-based Enhancement of Property Graphs for Modelling Indoor LBSNs. jgit 2023; 11 (3) :21-42
URL: http://jgit.kntu.ac.ir/article-1-861-en.html


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Volume 11, Issue 3 (12-2023) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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