Abstract
In this paper it is analysed how emerging behaviour of an adaptive network for bonding based on homophily can be related to characteristics of the adaptive network’s structure, which includes the structure of the adaptation principles used. Relevant characteristics have been identified, such as a tipping point for homophily; it has been found how the emergence of clusters strongly depends on the value of this tipping point. It is shown that some properties of the structure of the network and the adaptation principle entail that the connection weights all converge to 0 (for states in different clusters) or 1 (for states within one cluster).
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Treur, J. (2019). Relating an Adaptive Social Network’s Structure to Its Emerging Behaviour Based on Homophily. In: Aiello, L., Cherifi, C., Cherifi, H., Lambiotte, R., Lió, P., Rocha, L. (eds) Complex Networks and Their Applications VII. COMPLEX NETWORKS 2018. Studies in Computational Intelligence, vol 813. Springer, Cham. https://doi.org/10.1007/978-3-030-05414-4_27
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DOI: https://doi.org/10.1007/978-3-030-05414-4_27
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