ABSTRACT The paper presents the analysis of speech perception and of the specific nature of communication between migrants and residents of Moscow, as reflected in the digital environment. The main focus is on conflictogenic digital zones, as well as methods for predicting and preventing conflicts. The development of algorithms to make predictions about users’ possible actions, the occurrence and prevention of conflicts is an important task of interdisciplinary research. The goals of research were achieved based on the analysis of social media data. Neural network modeling, statistical analysis, and differential equations were used as research methods. In mathematical modeling, three types of models were built: an equation of linear regression, as well as logistic and type-epidemiological mathematical models. The study showed that the use of parallel models using differential equations, mathematical statistics and neural network technology to determine the dynamics of aggressive online activity, in particular, to analyze users’ perception of conflict situations related to the topic of migrants, makes it possible to correctly analyze conflict zones in the development of a modern metropolis, to increase the effectiveness of research methods and predictive analytics of the development of social tension.

中文翻译：

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网络攻击的数字空间：莫斯科人对移民的看法

摘要 本文分析了语音感知以及莫斯科移民和居民之间交流的特定性质，这反映在数字环境中。主要重点是冲突产生的数字区域，以及预测和预防冲突的方法。开发算法来预测用户可能的行为、冲突的发生和预防是跨学科研究的重要任务。研究目标是基于对社交媒体数据的分析来实现的。神经网络建模、统计分析和微分方程被用作研究方法。在数学建模中，建立了三种类型的模型：线性回归方程，以及逻辑和类型流行病学数学模型。