A spatial model for social networks

We study spatial embeddings of random graphs in which nodes are randomly distributed in geographical space. We let the edge probability between any two nodes to be dependent on the spatial distance between them and demonstrate that this model captures many generic properties of social networks, including the “small-world” properties, skewed degree distribution, and most distinctively the existence of community structures.

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Year of publication:	2006
Authors:	Wong, Ling Heng ; Pattison, Philippa ; Robins, Garry
Published in:	Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 360.2006, 1, p. 99-120
Publisher:	Elsevier
Subject:	Social networks \| Small world \| Spatial model \| Community structure \| Homophily

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011063356