Some Statistical Features of the Information Exchange in Social Networks

Kuptsov, M. I.; Minaev, Vladimir; Yablochnikov, S. L.; Дзобелова, В. Б.; Sharopatova, A. V.

doi:10.1109/synchroinfo49631.2020.9166049

Cited by 12 publications

(4 citation statements)

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“…In doing so, they use various mathematical and statistical methods, including regression modeling. In particular, these researchers presented results that allow developing the ideas outlined in earlier publications [17,41,48,58]. Since modern political technologies based on the use of ICT tools are congruent with the technologies of aggressive marketing [65], we put forward the following hypothesis: "Endogenous factors of social networks, which largely determine the dynamics of selling goods and services in virtual space in the conditions of general digitalization of social and economic processes, are likely to a certain extent congruent with the factors that determine the implementation and outcome of political processes".…”

Section: Literature Reviewmentioning

confidence: 87%

“…Thus, "mechanistic" research is characterized by the identification of a set of cause-andeffect relations or the determination of the direction of vectors of the main information flows, as well as attempts to explain the evolution of the structure of social networks, etc. Statistical studies, as a rule, only state the fact of certain stochastic regularities in the internal implementation of such networks information processes [17].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In addition to the above methods, we should also mention quite original researches based on building different models of social networks: triangle-closing model [49], forest fire model [50], random forest [51], support vector machine [52], regression models [17,53], method based on convolutional neural networks [54]. Various methods and models of social network analysis and their practical application are presented in more detail in [10].…”

Section: Literature Reviewmentioning

confidence: 99%

“…At the same time, no less important is the study of the essence and forecasting of the effect of the state of internal space of computer social networks and virtual processes within them on real socio-economic relations and political processes in society [6,7,17,41,[58][59][60][61][62][63][64]. A special role in these studies is assigned to the analysis and modeling of the so-called "mass" processes, in particular those that concern the collective behavior of computer social network users with consequences for the entire society and state.…”

Section: Literature Reviewmentioning

confidence: 99%

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Modeling of Information Processes in Social Networks

2021

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In order to model information dissemination in social networks, a special methodology of sampling statistical data formation has been implemented. The probability distribution laws of various characteristics of personal and group accounts in four social networks are investigated. Stochastic aspects of interrelations between these indicators were analyzed. The classification of groups of social network users is proposed, and their characteristic features and main empirical regularities of mutual transitions are marked. Regression models of forecasting changes in the number of users of the selected groups have been obtained.

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Section: Literature Reviewmentioning

confidence: 87%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Modeling of Information Processes in Social Networks

2021

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Project Safety Management

2023

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Problems of improving the management of marketing channels in retail chains in the sale of agricultural products

Nezamova

Olentsova

2021

IOP Conf. Ser.: Earth Environ. Sci.

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This article attempts to analyze the management system of marketing channels for agricultural products. For the successful sale of perishable products, it is necessary that they move as quickly as possible through the sales channel, so that the consumer is informed in advance about the quality characteristics of the product, its useful properties, about additional services for the delivery of products, about the delivery time of the product, its shelf life and other characteristics. It was made an analysis for retail chains represented on the market of the city of Krasnoyarsk. Limited Liability Company “Retail chain Komandor”” is one of the leaders of the Russian retail chain. “Krasny Yar” and “Komandor” are these are the most common networks in Krasnoyarsk for the sale of agricultural products, in particular local agricultural products. They have a lot in common: both chains are focused on the middle segment, have approximately the same pricing policy, came to the market almost at the same time, and have a similar assortment. The registration of the retail chain “Komandor” on the Krasnoyarsk market took place in December 1991, although the first store was opened in 1999, and the retail chain “Krasny Yar” has been present on the Krasnoyarsk market since December 1997. The purpose of this study is to analyze the current situation in the marketing channel management system, in the most popular retail chains of the city of Krasnoyarsk, to identify the main trends in the development of the marketing channel management system, to determine the differences between distribution channels and marketing channels, and to develop measures to improve this system.

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Some Statistical Features of the Information Exchange in Social Networks

Cited by 12 publications

References 2 publications

Modeling of Information Processes in Social Networks

Modeling of Information Processes in Social Networks

Project Safety Management

Problems of improving the management of marketing channels in retail chains in the sale of agricultural products

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