Abstract | ||
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Our goal is to facilitate a guide for analyzing SNs as derived from online social media, telecommunications, surveys, etc. within geographic space by combining the mature fields of social network analysis SNA and GISystems. First, we describe why modeling socialization in geographic space is essential for understanding human behavior. We then outline best practices and techniques for embedding SN nodes and edges in GISystems by introducing terms like ‘social flow’ and ‘anthrospace’, and categorizations for data and spatial aggregation types. Finally, we explore case study vignettes of SNA within GISystems from diverse regions located in Bolivia, China, Côte d’Ivoire, Singapore, the United Kingdom, and the United States, using concepts such as geolocated dyads, ego–alter relationships, node feature roles, modularity, and network transitivity. |
Year | DOI | Venue |
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2016 | 10.1080/13658816.2016.1153103 | International Journal of Geographical Information Science |
Keywords | Field | DocType |
Information and communication technologies (ICTs), transportation, interpersonal relationships, social media, location-based social networks (LBSNs) | Data science,Social network,Computer science,Artificial intelligence,Transitive relation,Best practice,Social media,Social network analysis,Interpersonal relationship,Socialization,Machine learning,Modularity,Cartography | Journal |
Volume | Issue | ISSN |
30 | 10 | 1365-8816 |
Citations | PageRank | References |
12 | 1.05 | 15 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
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Clio Andris | 1 | 117 | 9.67 |