Network Society: Aggregate Topological Models

Tikhomirov, Alexei; Alexander, Afanasiev D.; Kinash, Nikolay; Trufanov, Andrey; Берестнева, О. Г.; Rossodivita, A.; Gnatyuk, Sergey; Umerov, R.

doi:10.1007/978-3-319-13671-4_47

Cited by 10 publications

(4 citation statements)

References 7 publications

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“…It is important to interpret the entire complexity of the systems as possible by a wide range of network representations, including the form of networks: temporal (dynamic) [15], multilayered (multiplexes) [16], interdependent [17], stem [18], combined [19], aggregated [20], as well as their generalizations -laces of unified networks (LUN) [21,22]. Fig.…”

Section: Methodsmentioning

confidence: 99%

Application of the Theory of Complex Networks in Analysis of Tourist Infrastructure

Urazova¹,

Kuklina²,

Kotelnikov³

et al. 2019

Proceedings of the Internation Conference on "Humanities and Social Sciences: Novations, Problems, Prospects" (HSSNPP 2019)

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One of the most dynamically developing sectors of the service sector, which has a significant impact on the socioeconomic development of a region, is tourism. Its characteristic feature is a significant multiplicative effect that generates incomes in related sectors of the economy and gives impetus to their development. National tourism should play a key role in the development of the territories, since it is, tourism which is the main source of financial income from tourist activities. In the regions of our country, national tourism is poorly developed, which is explained by the underdeveloped infrastructure of the industry, the discrepancy between prices for tourist products and their quality, as well as the lack of qualified personnel. It is obvious, however, that it is the infrastructural component that most influences the tourist attractiveness of a region. At the same time, at the moment, the following factors contribute to the popularity of national (domestic) tourism: the turbulent geopolitical situation in many countries, the growth of the exchange rate, the restrictions on Russian travel to popular foreign resorts etc. Under these conditions, the studies that analyze the existing infrastructure of a region, including using the theory of complex networks, become the most relevant.

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Section: Methodsmentioning

confidence: 99%

Application of the Theory of Complex Networks in Analysis of Tourist Infrastructure

Urazova¹,

Kuklina²,

Kotelnikov³

et al. 2019

Proceedings of the Internation Conference on "Humanities and Social Sciences: Novations, Problems, Prospects" (HSSNPP 2019)

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“…MTSDG is a pretty complicated system that needs a special thorough approach for its analysis. A network theory can be an efficient instrument to analyze such a multi-actor subject [1] ( Fig.1). Good network models are extremely important for studies of real complex systems.…”

Section: Methodsmentioning

confidence: 99%

Comprehensive Mega Network(CMN) Platform: Korea MTS Governance for CIS Case Study

Ashurova¹,

Myeong²,

Tikhomirov³

et al. 2016

Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

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Abstract-Medical tourism is one of the fastest growing sectors and has a serious economic potential for Korean economy through expansion of Korean medical tourism service (MTS) network for CIS region. Existing explorations are focusing on specific areas such as economic, medical, marketing and other aspects of the medical tourism. A few academic studies devoted to governance aspects of this complex sector. The paper suggesting a comprehensive mega network is modeling framework for investigating governance process in the field of MTS delivery.

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“…The directions of such research were chosen by various scientists. Some works focused on defining the principles of building a modern communication system and requirements for them [1], as well as recommendations for assessing the reliability of certain types of communication technology [2,3]. Various proposed "ontological techniques" are considered, as well as comprehensive analysis of various models to ensure the safety of the cloud environment [4][5][6][7].…”

Section: Related Workmentioning

confidence: 99%

Risk Forecasting of Data Confidentiality Breach Using Linear Regression Algorithm

Korystin¹,

Nataliia²,

Митина³

2022

IJCNIS

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The paper focuses on the study of cyber security in Ukraine and creation of a predictive model for reducing the risk of identified cyber threats. Forecasting is performed using a linear regression model, taking into account the optimal dependence of specific threats in the field of cyber security of Ukraine on variables characterizing capabilities / vulnerabilities of cyber security. An unique empirical base was used for the analysis, which was formed on the basis of an expert survey of the cyber security system’s subjects in Ukraine. In order to increase the representativeness of the research, based on the selection of reliable expert population, data cleaning is provided. Methodological research is based on a risk-oriented approach, which provided a risk assessment of the spread of cyber threats and, on this basis, the determination of capabilities / vulnerabilities of the cyber security system in Ukraine. The value of the research is formed not only by assessing the risks of the spread of cyber threats, but by a more in-depth analysis of the dependence of the cyber threats’ level on the vulnerability of the cyber security system based on the search for optimal and statistically significant relationships. The experiment was conducted on the basis of determining the optimal model for forecasting the risk of the spread of one of the most significant threats in Ukraine – data confidentiality breach (54.67%), depending on the variables that characterize the capabilities / vulnerabilities of the cyber security system in Ukraine. The experiment showed that the optimal model emphasizes the predictors characterizing the vulnerability of the organizational cyber security system – "Departmental level of cybersecurity monitoring" and capabilities: "The level of use of risk management approaches at the operational level" and "The level of methodological support for cybersecurity of the critical infrastructure system".

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Network Society: Aggregate Topological Models

Cited by 10 publications

References 7 publications

Application of the Theory of Complex Networks in Analysis of Tourist Infrastructure

Application of the Theory of Complex Networks in Analysis of Tourist Infrastructure

Comprehensive Mega Network(CMN) Platform: Korea MTS Governance for CIS Case Study

Risk Forecasting of Data Confidentiality Breach Using Linear Regression Algorithm

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