Study of social structure patterns and their dynamics has attracted more attentions in recent years. Structural measures like structural balance and status theory focus on patterns of signed links and the frequency/popularity of them. Several recent works have tried to define some measures to study the instability of social structure. But these works do not present any idea about the links that changing their signs makes the network more stable. In this paper, we have introduced three algorithms for detecting and changing the sign of links of graph to make it more stable. The results of simulation for a number of scale-free and complete networks show that proposed algorithms have the ability to create more stable patterns. As the proposed algorithms focus on components of the social network to calculate localized measures, it is appropriate for agent based models to study other social phenomena.

中文翻译：

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通过改变当地格局来稳定社会结构

对社会结构模式及其动态的研究近年来引起了越来越多的关注。结构性度量（例如结构平衡和地位理论）等结构性措施重点关注已签名链接的模式及其频率/受欢迎程度。最近的一些工作试图定义一些措施来研究社会结构的不稳定性。但是这些作品对改变其标志使网络更加稳定的链接没有任何想法。在本文中，我们介绍了三种检测和更改图形链接符号以使其更稳定的算法。对许多无标度和完整网络的仿真结果表明，所提出的算法具有创建更稳定模式的能力。由于拟议的算法着重于社交网络的组成部分以计算本地化指标，