Value of Spatial Information as part of Social Network Analysis

Authors: Dipto Sarkar*, National University of Singapore
Topics: Geographic Information Science and Systems
Keywords: GIScience, Spatial Social Networks
Session Type: Paper
Day: 4/4/2019
Start / End Time: 5:00 PM / 6:40 PM
Room: Congressional B, Omni, West
Presentation File: No File Uploaded

Social Networks use topological node and edge structure to gain insights into a community as portrayed by social fabric of interactions. The primary focus is thus on the pattern of interactions and the embeddedness of the nodes in the network. In recent years, researchers have started incorporating spatial information as part of the social network structure to understand the spatial embedding of the nodes, edges, and the network in addition to the social embedding provided by the topological node and edge structure. The geographic space in which a social network is embedded is not merely a passive container, but actively shapes the processes. Consequently, the added spatial nuance in Spatial Social Networks enhances the analysis opportunities to include insights on how the network tie formation and the network processes are shaped by the underlying space. In this presentation, we will explore the literature of spatial social networks to specifically highlight the how the addition of spatial information benefitted the analysis of social networks. This presentation would further classify the different ways in which spatial information can be included in the network as well as the various analysis methods that exist to handle the coupling of spatial and social information. Finally, the presentation will highlight some of the existing challenges and opportunities for Spatial Social Network Analysis in Human Dynamics research.

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