ИССЛЕДОВАНИЕ АЛГОРИТМА ДИНАМИЧЕСКОЙ ИММУНИЗАЦИИ УЗЛОВ ДЛЯ ОГРАНИЧЕНИЯ РАСПРОСТРАНЕНИЯ ВРЕДОНОСНОЙ ИНФОРМАЦИИ В СОЦИАЛЬНЫХ СЕТЯХ

Zamyatina E., Зимин И.

Restricting the spread of malicious information is crucial to the healthy and sustainable development of social networks. This article addresses the problem of preventing the spread of unwanted (malicious, prohibited, malicious) information by dynamically immunizing nodes in social networks. A statement of the problem to be solved, a description of the dynamic immunization algorithm [1], as well as its simulation model, built using the simulation tool AnyLogic, which allows agent-based modeling of social networks, are given. Reasonable use of agent-based modeling. The results (the number of infected with a malicious information of users of a social network at a finite point in time) simulation of the diffusion of a social network with different parameters of the initial state of a randomly generated social network and its users are presented. The advantages and disadvantages of this algorithm are considered.

Keywords: социальные сети, social networks, имитационное моделирование, simulation modeling, distribution of harmful information, dynamic immunization, diffusion of a social network, распространение вредоносной информации, динамическая иммунизация, диффузия социальной сети

In book

Математика и междисциплинарные исследования – 2019 [Электронный ресурс]: материалы Всерос. науч.-практ. конф. молодых ученых с междунар. участием (г. Пермь, 15–18 мая 2019 г.)

Пермь: Пермский государственный национальный исследовательский университет, 2019.