“Fakes” in social networking media and modeling “fake infection”

Svetlana Viktorovna Mikhailova — Fri, 22 Oct 2021 14:50:18 +0000

The growth of dynamism, the complexity of relationships in social networks requires a systematic approach, the development of mathematical models for forecasting and the identification of fake news in social networks. Otherwise, it is difficult to resist media misinformation, fake news. The problem is urgent, there are more and more opportunities for exchanging "viral" and fake messages in social networks, and we poorly implement monitoring, identifying fake risks. Social networks so far do not allow reliably distinguishing lies from news from aggregator. The purpose of the work is to predict and analyze the system-phase pattern of the spread of fakes in the space of social interactions. "Fakes" are deliberately false, intended for manipulation. In recent years, they are easily distributed in social networks. In the work by methods of the theory of ordinary differential equations, their qualitative analysis, the above problem was full investigated. The study was conducted under assumptions: remote distributors are not allowed to participate in the transmission of fakes; an adult population susceptible to fakes has a constant birth rate; propagation can occur "vertically," wherein the transmission mechanism is introduced into the model by appropriate assumptions about the proportion of susceptible and distributors. The problem is fully investigated (solvability, unambiguity, phase patterns of stable behavior). The work will be useful in the practical identification and prediction of the influence of fake news.

Modeling of innovative processes of regional development

Irina Ivanovna Yurina — Fri, 22 Oct 2021 15:15:23 +0000

Innovative processes in the development of the region are essential. It’s necessary to effectively investigate and manage them. In Russia, increased requirements for innovation, innovative digital interactions, and infrastructures. The purpose of the work is system analysis and modeling of regional development processes, testing of the built model. The evolutionary potential of the region is also being explored. The work uses methods of system analysis, decision-making, mathematical modeling, situational and comparative analysis. For stable and dynamic regions, various system goals of innovative development are considered: corporate, business-oriented, functional, production, etc. The main results of the article: analysis of systemic problems and solutions for the innovative development of regions, the construction and study of a model of dynamics of evolution, potential and indices in the conditions of a variety of innovative changes (diffusion, innovation, investment, etc.). Uncertainties in the environment (restructuring in the region) are also taken into account. The task of identification of the constructed model, possibility of situational forecasting and support of strategic management with its help is considered. The test example for the model takes into account the dynamics of funds and the consumption of the situation. The dynamic characteristics of regional innovation should lead to qualitative changes, and the sustainability of the region is determined by the dynamic relationships of structures. Therefore, it’s important to consider synergistic interactions such as "region – innovation – investment – evolutionary potential". The model we have discussed can also be complicated and improved by complicating the submodels involved and the modeling hypotheses considered. But in this form, it’s suitable for relevant situational modeling.

Personality Society

“Fakes” in social networking media and modeling “fake infection”

Modeling of innovative processes of regional development