Increasing the Diffusional Characteristics of Networks Through Optimal Topology Changes within Sub-graphs

Patryk Pazura, Jarosław Jankowski, Kamil Bortko, Piotr Bartków
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引用次数: 1

Abstract

In recent years, bustling online communities have focused a lot of attention on research dealing with information spreading. Through acquired knowledge about the characteristics of information spreading processes, we are able to influence their dynamics via the enhancement of propagation properties or by changing them to decrease their spread within a network. One of approaches is adding or removing connections within a network. While optimal linking within complex networks requires extensive computational resources, in this investigation, we focus on the optimization of the topology of small graphs within larger network structures. The study shows how the enhancement of propagation properties within small networks is preserved in bigger networks based on connected smaller graphs. We compare the results from combined small graphs with added links providing optimal spread and networks with additional random linking. The results show that improvements in linking within small sub-graphs with optimal linking improves the diffusional properties of the whole network.
通过子图内最优拓扑变化提高网络的扩散特性
近年来,蓬勃发展的网络社区将大量注意力集中在信息传播研究上。通过获得信息传播过程特征的知识,我们能够通过增强传播特性或通过改变它们来减少它们在网络中的传播来影响它们的动态。其中一种方法是在网络中添加或删除连接。虽然复杂网络中的最佳连接需要大量的计算资源,但在本研究中,我们将重点放在大型网络结构中小图拓扑的优化上。该研究展示了如何在基于连接的小图的大网络中保持小网络中传播特性的增强。我们比较了组合小图与提供最佳传播的附加链接和具有附加随机链接的网络的结果。结果表明,小子图间最优连接的改进改善了整个网络的扩散特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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