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.
CITATION STYLE
Rahimi, M., Malek, M. R., Claramunt, C., & Le Pors, T. (2021). A topology-based graph data model for indoor spatial-social networking. International Journal of Geographical Information Science, 35(12), 2517–2539. https://doi.org/10.1080/13658816.2021.1912349
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