Dynamical Properties of Random Boolean Hypernetworks

Kevin M. Stoltz, Cliff A. Joslyn
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Abstract

Boolean networks are a valuable class of discrete dynamical systems models, but they remain fundamentally limited by their inability to capture multi-way interactions in their components. To remedy this limitation, we propose a model of Boolean hypernetworks, which generalize standard Boolean networks. Utilizing the bijection between hypernetworks and bipartite networks, we show how Boolean hypernetworks generalize standard Boolean networks. We derive ensembles of Boolean hypernetworks from standard random Boolean networks and simulate the dynamics of each. Our results indicate that several properties of Boolean network dynamics are affected by the addition of multi-way interactions, and that these additions can have stabilizing or destabilizing effects.
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随机布尔超网络的动态特性
布尔网络是一类有价值的离散动力系统模型,但由于无法捕捉其组成部分中的多向交互作用,它们仍然受到根本性的限制。为了弥补这一局限,我们提出了一种布尔超网络模型,它是对标准布尔网络的概括。利用超网络和双向网络之间的双射关系,我们展示了布尔超网络如何概括标准布尔网络。我们从标准随机布尔网络推导出布尔超网络集合,并模拟了每个集合的动力学。我们的研究结果表明,布尔网络动力学的几个特性会受到多向相互作用的影响,而且这些相互作用会产生稳定或不稳定效应。
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