Indices of Informational Association and Analysis of Complex Socio-Economic Systems

Santos, Paulo L. dos; Wiener, Noe

doi:10.3390/e21040367

Cited by 7 publications

(2 citation statements)

References 55 publications

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“…There are two main theoretical concepts of information that can help guide the observation of the relationship between the economic characteristics of a large number of people: entropy and mutual information. The concepts of entropy and mutual information make it possible to develop non-parametric characteristics of information associations present in the observed data generated by economic and broader social interactions [6].…”

Section: Fig 1 Algorithm Of Data Analytics and Tools Of Data Miningmentioning

confidence: 99%

Data mining tools for complex socio-economic processes and systems

Obelets

2022

SRIT

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The paper considers discovering new and potentially useful information from large amounts of data that actualizes the role of developing data mining tools for complex socio-economic processes and systems based on the principles of the digital economy and their processing using network applications. The stages of data mining for complex socio-economic processes and systems were outlined. The algorithm of data mining was considered. It is determined that the previously used stages of data mining, which were limited to the model-building process, can be extended through the use of more powerful computer technology and the emergence of free access to large amounts of multidimensional data. The available stages of data mining for complex socio-economic processes and systems include the processes of facilitating data preparation, evaluation, and visualization of models, as well as in-depth learning. The data mining tools for complex socio-economic processes and systems in the context of technological progress and following the big data paradigm were identified. The data processing cycle has been investigated; this process consists of a series of steps starting with the input of raw data and ending with the output of useful information. The knowledge obtained at the data processing stage is the basis for creating models of complex socio-economic processes and systems. Two types of models (descriptive and predictive) that could be created in the data mining process were outlined. Algorithms for estimating and analyzing data for modeling complex socio-economic processes and systems in accordance with the pre-set task were determined. The efficiency of introducing neural networks and deep learning methods used in data mining was analyzed. It was determined that they would allow effective analysis and use of the existing large data sets for operational human resources management and strategic planning of complex socio-economic processes and systems.

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Section: Fig 1 Algorithm Of Data Analytics and Tools Of Data Miningmentioning

confidence: 99%

Data mining tools for complex socio-economic processes and systems

Obelets

2022

SRIT

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“…The other tradition adopts the complexity perspective of social systems but identifies the complex nature of such systems as arising from incomplete information (Foley, 1994, 1996; Scharfenaker and dos Santos, 2015; Scharfenaker and Foley, 2017; Scharfenaker and Semieniuk, 2017; Yang, 2018a, 2018b; dos Santos and Scharfenaker, 2019; dos Santos and Wiener, 2019; dos Santos, 2020; Scharfenaker and Yang, 2020). This approach originates in the ideas of physicist Edwin T. Jaynes (Jaynes, 1957), who identified the generality of Claude Shannon's' (Shannon, 1948) work in information theory as a justification for the study of statistical mechanics 3 .…”

Section: Statistical Thinking In Political Economymentioning

confidence: 99%

Statistical Equilibrium Methods in Analytical Political Economy

Scharfenaker

2020

Journal of Economic Surveys

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Economic systems produce robust statistical patterns in key sate variables including prices and incomes. Statistical equilibrium methods explain the distributional properties of state variables as arising from specific institutional, environmental, and behavioral postulates. Two broad traditions have developed in political economy with the complementary aim of conceptualizing economic processes as irreducibly statistical phenomena but differ in their methodologies and interpretations of statistical explanation. These conceptual differences broadly mirror the methodological divisions in statistical mechanics, but also emerge in distinct ways when considered in the context of social sciences. This paper surveys the use of statistical equilibrium methods in analytical political economy and identifies the leading methodological and philosophical questions in this growing field of research.

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By the content of their character? Discrimination, social identity, and observed distributions of income

Santos

Wiener

2019

The Journal of Mathematical Sociology

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Indices of Informational Association and Analysis of Complex Socio-Economic Systems

Cited by 7 publications

References 55 publications

Data mining tools for complex socio-economic processes and systems

Data mining tools for complex socio-economic processes and systems

Statistical Equilibrium Methods in Analytical Political Economy

By the content of their character? Discrimination, social identity, and observed distributions of income

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