Department of Physics, Bar-Ilan University, Ramat-Gan 5290002, Israel.
Department of Mathematics, Bar-Ilan University, Ramat-Gan 5290002, Israel.
Phys Rev E. 2017 May;95(5-1):052305. doi: 10.1103/PhysRevE.95.052305. Epub 2017 May 5.
Strengthening or destroying a network is a very important issue in designing resilient networks or in planning attacks against networks, including planning strategies to immunize a network against diseases, viruses, etc. Here we develop a method for strengthening or destroying a random network with a minimum cost. We assume a correlation between the cost required to strengthen or destroy a node and the degree of the node. Accordingly, we define a cost function c(k), which is the cost of strengthening or destroying a node with degree k. Using the degrees k in a network and the cost function c(k), we develop a method for defining a list of priorities of degrees and for choosing the right group of degrees to be strengthened or destroyed that minimizes the total price of strengthening or destroying the entire network. We find that the list of priorities of degrees is universal and independent of the network's degree distribution, for all kinds of random networks. The list of priorities is the same for both strengthening a network and for destroying a network with minimum cost. However, in spite of this similarity, there is a difference between their p_{c}, the critical fraction of nodes that has to be functional to guarantee the existence of a giant component in the network.
在设计具有弹性的网络或规划针对网络的攻击时,包括规划针对网络疾病、病毒等的免疫策略,加强或破坏网络是一个非常重要的问题。在这里,我们开发了一种用最小成本加强或破坏随机网络的方法。我们假设加强或破坏节点所需的成本与节点的度数之间存在相关性。因此,我们定义了一个成本函数 c(k),它是加强或破坏度数为 k 的节点的成本。利用网络中的度数 k 和成本函数 c(k),我们开发了一种定义度优先顺序列表的方法,并选择要加强或破坏的正确度数组,以最小化加强或破坏整个网络的总成本。我们发现,度的优先顺序列表是通用的,与网络的度分布无关,适用于各种随机网络。对于加强网络和用最小成本破坏网络,优先顺序列表是相同的。然而,尽管存在这种相似性,但它们的 p_{c},即保证网络中存在巨型组件所需的功能节点的临界分数,存在差异。