Paper Info
Title
A topology-based graph data model for indoor spatial-social networking
Abstract
This paper introduces a simplex-based enriched graph data model integrating a discrete and place-based indoor spatial model with a spatial-social network. The proposed model incorporates similarity and relevance measures, exhibited from Q-analysis of simplicial complexes, facilitating data manipulation and revealing latent relations in a spatial-social network. It also uses an indoor-specific metric representing the ease of access to process spatial-social queries in indoor environments. The proposed model's experimental implementation shows the quantitative advantage of using graph-based representation and the qualitative superiority of simplex-based enrichment in processing spatial-social queries in indoor environments.
Year
DOI
Venue
2021
10.1080/13658816.2021.1912349
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Keywords
DocType
Volume
Spatial-social network, location-based social network (lbsn), indoor space, graph database, simplex
Journal
35
Issue
ISSN
Citations 
12
1365-8816
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Mahdi Rahimi100.34
Mohammad Reza Malek2307.30
Christophe Claramunt3846107.03
Thierry Le Pors400.34