Geographical impacts on social networks from perspectives of space and place: an empirical study using mobile phone data
Space and place are two fundamental concepts in geography. Geographical factors have long been known as drivers of many aspects of people’s social networks. But whether and how space and place affect social networks differently are still unclear. The widespread use of location-aware devices provides a novel source for distinguishing the mechanisms of their impacts on social networks. Using mobile phone data, this paper explores the effects of space and place on social networks. From the perspective of space, we confirm the distance decay effect in social networks, based on a comparison between synthetic social ties generated by a null model and actual social ties derived from real-world data. From the perspective of place, we introduce several measures to evaluate interactions between individuals and inspect the trio relationship including distance, spatio-temporal co-occurrence, and social ties. We found that people’s interaction is a more important factor than spatial proximity, indicating that the spatial factor has a stronger impact on social networks in place compared to that in space. Furthermore, we verify the hypothesis that interactions play an important role in strengthening friendships.
KeywordsGeographical impacts Space and place Spatially-embedded social networks Mobile phone data Individuals’ interaction
JEL ClassificationC18 D83
This research was supported by the National Natural Science Foundation of China (Grant nos. 41271386 and 41428102). The authors are grateful to anonymous referees for their constructive comments.
- Agnew J (1987) Place and politics: the geographical mediation of state and society. Allen and Unwin, BostonGoogle Scholar
- Cairncross F (2001) The death of distance: how the communications revolution will change our lives. Harvard Business Press, CambridgeGoogle Scholar
- Cho E, Myers SA, Leskovec J (2011) Friendship and mobility: user movement in location-based social networks. In: Proceedings of the 17th international conference on knowledge discovery and data mining, ACM, New York, pp 1082–1090Google Scholar
- Choudhury MD, Mason WA, Hofman JM, Watts DJ (2010) Inferring relevant social networks from interpersonal communication. In: Proceedings of the 19th international conference on world wide web, ACM, New York, pp 301–310Google Scholar
- Erdős P, Rényi A (1976) On the evolution of random graphs. Sel Pap Alfréd Rényi 2:482–525Google Scholar
- Kang C, Sobolevsky S, Liu Y, Ratti C (2013) Exploring human movements in Singapore: a comparative analysis based on mobile phone and taxicab usages. In: Proceedings of the 2nd international workshop on urban computing, no. 1. ACM, New YorkGoogle Scholar
- Lewis RA, Reiley D (2008) Does retail advertising work? Measuring the effects of advertising on sales via a controlled experiment on Yahoo!. http://dx.doi.org/10.2139/ssrn.1865943
- Pickles J (1995) Ground truth: the social implications of geographic information systems. Guilford Press, NewyorkGoogle Scholar
- Tuan Y-F (1977) Space and place: the perspective of experience. University of Minnesota Press, MinneapolisGoogle Scholar
- Walsh F, Pozdnoukhov A (2011) Spatial structure and dynamics of urban communities. In: Proceedings of the first workshop on pervasive urban applications (PURBA)Google Scholar