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- Title
Generating online social networks based on socio-demographic attributes.
- Authors
Pasta, Muhammad Qasim; Zaidi, Faraz; Rozenblat, Céline
- Abstract
Recent years have seen tremendous growth of many online social networks such as Facebook, LinkedIn and MySpace. People connect to each other through these networks forming large social communities providing researchers rich datasets to understand, model and predict social interactions and behaviours. New contacts in these networks can be formed due to an individual's demographic attributes such as age group, gender, geographic location or due to a network's structural dynamics such as triadic closure and preferential attachment, or a combination of both demographic and structural characteristics. A number of network generation models have been proposed in the last decade to explain the structure, evolution and processes taking place in different types of networks, and notably social networks. Network generation models studied in the literature primarily consider structural properties, and in some cases an individual's demographic profile in the formation of new social contacts. These models do not present a mechanism to combine both structural and demographic characteristics for the formation of new links. In this paper, we propose a new network generation algorithm that incorporates both these characteristics to model network formation. We use different publicly available Facebook datasets as benchmarks to demonstrate the correctness of the proposed network generation model. The proposed model is flexible and thus can generate networks with varying demographic and structural properties.
- Subjects
SOCIAL groups; SOCIAL networks; SOCIAL network analysis; CHAIN migration; NETWORK effect
- Publication
Journal of Complex Networks, 2014, Vol 2, Issue 4, p475
- ISSN
2051-1310
- Publication type
Article
- DOI
10.1093/comnet/cnu034