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A topology-based graph data model for indoor spatial-social networking
International Journal of Geographical Information Science ( IF 4.3 ) Pub Date : 2021-04-14 , DOI: 10.1080/13658816.2021.1912349
Mahdi Rahimi 1 , Mohammad Reza Malek 1 , Christophe Claramunt 2 , Thierry Le Pors 3
Affiliation  

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.



中文翻译:

一种基于拓扑的室内空间社交网络图数据模型

摘要

本文介绍了一种基于单纯形的丰富图数据模型,将离散的、基于地点的室内空间模型与空间社交网络相结合。所提出的模型结合了相似性和相关性度量,从单纯复合物的 Q 分析中表现出来,促进了数据操作并揭示了空间社会网络中的潜在关系。它还使用特定于室内的指标来表示在室内环境中处理空间社会查询的难易程度。所提出模型的实验实现显示了使用基于图的表示的定量优势和基于单纯形的丰富在室内环境中处理空间社会查询的定性优势。

更新日期:2021-04-14
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