Topology universality and dissimilarity in a class of scale-free networks

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dc.creatorZhang, Lanhua
dc.creatorChen, Juan
dc.creatorWang, Mei
dc.creatorLi, Yujuan
dc.creatorXue, Shaowei
dc.creatorTang, Yiyuan (TTU)
dc.creatorSun, Baoliang
dc.date.accessioned2023-04-03T15:13:47Z
dc.date.available2023-04-03T15:13:47Z
dc.date.issued2016
dc.description© 2016 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. cc-by
dc.description.abstractWe study the effect of subtle changes on the evolution in the scale-free (SF) networks. Three extended models are evolved based on competition and inner anti-preferential deletion in growth and preferential attachment processes. By nonlinear and dynamic controlling on randomness and determinacy, three models can self-organize into scale-free networks, and diverse scaling exponents appear. Moreover, the model with more determinacy has more stringent parameter control than randomness, especially in the edge deletion. Our results suggest that the nature of the topology universality and dissimilarity in SF networks may be the subtle changes of randomness and determinacy.
dc.identifier.citationZhang, L., Chen, J., Wang, M., Li, Y., Xue, S., Tang, Y., & Sun, B.. 2016. Topology universality and dissimilarity in a class of scale-free networks. PLoS ONE, 11(8). https://doi.org/10.1371/journal.pone.0161653
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0161653
dc.identifier.urihttps://hdl.handle.net/2346/92379
dc.language.isoeng
dc.titleTopology universality and dissimilarity in a class of scale-free networks
dc.typeArticle

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