Abstract
Motivated by biological aging dynamics, we introduce a network evolution model for social interaction networks. In order to study the effect of social interactions originating from biological and sociological reasons on the topological properties of networks, we introduce the activitydependent rewiring process. From the numerical simulations, we show that the degree distribution of the obtained networks follows a power-law distribution with an exponentially decaying tail, P(k) ∼ (k + c)−γ exp(−k/k 0). The obtained value of γ is in the range 2 < γ š 3, which is consistent with the values for real social networks. Moreover, we also show that the degree-degree correlation of the network is positive, which is a characteristic of social interaction networks. The possible applications of our model to real systems are also discussed.
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Kim, Y., Choi, W. & Yook, SH. Modified Penna bit-string network evolution model for scale-free networks with assortative mixing. Journal of the Korean Physical Society 60, 621–624 (2012). https://doi.org/10.3938/jkps.60.621
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DOI: https://doi.org/10.3938/jkps.60.621