Dynamics of the formation of social groups and adjustment of characteristics of individuals in the process of them uniting into groups
DOI:
https://doi.org/10.17308/econ.2023.1/10942Keywords:
agent-based models, social groups, principal components method, personality structure, thesaurusAbstract
Subject. This article discusses the agent-based model describing the process when two or more individuals meet for the first time and form a small social group based on interests. It is assumed that when they get to know each other, they exchange information about certain phenomena of the surrounding world and their attitudes to them. The article describes a study which involved simulation of the process of how the significance of these phenomena in their understanding of the surrounding world by each individual changes as a result of such interactions.
Purpose. To determine the possibility of the formation of interest groups in a random sample of individuals and the nature of changes in their attitudes to the world as a result of several consecutive interactions between them within the paradigm of agent-based models.
Results. The method of hierarchical cluster analysis revealed stable interest groups which were formed within a random sample of individuals. A series of interactions between the participants of these groups significantly expanded the range of the participants’ ideas about the surrounding world and their confidence that their attitudes to the phenomena of the surrounding world were right.
Conclusions. It was shown that groups of individuals with completely opposite characteristics can emerge even in a random sample of individuals. What is more, the participants of each group will have similar ideas about the surrounding world. It was also shown that repeated interactions between the individuals within these groups boost their confidence about their attitudes to certain phenomena of the surrounding world. It was noted that currently the Internet is an important platform for such interactions.
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References
Андреева, Г. М. (2021) Социальная психология. М.: Аспект пресс. [Andreeva, G. M. (2021) Social psychology. M.: Aspekt press.]
Андрукович, П. Ф. (1973) Применение метода главных компонент в практических исследованиях. Автореферат кандидатской диссертации. Москва: ЦЭМИ РАН. [Andrukovich, P. F. (1973) Application of the principal components method in practical research. Abstract of a PhD dissertation. Moscow: CEMI RAS.]
Андрукович, П. Ф. (2018) Формирование социальных групп в парадигме АОМ. Вестник ЦЭМИ РАН, 1(3). [Andrukovich, P. F. (2018) Formation of social groups in the ABM paradigm. Vestnik CEMI RAS, 1(3).] https://doi.org/10.33276/s0000140-7-1
Андрукович, П. Ф. (1977) Изучение структуры выборки методом главных компонент. Всесоюзная Научно-Техническая. Конференция “Применение Многомерного Статистического Анализа в Экономике и Оценке Качества Продукции,” 74–77. [Andrukovich, P. F. (1977) Studying the structure of a sample by the principal component method. All-Union scientific and technical conference “Application of multidimensional statistical analysis in economics and assessment of product quality”. 74–77.]
Бахтизин, А. Р. (2008) Агент-ориентированные модели экономики. М.: ЗАО «Изд-во «Экономика». [Bakhtizin, A. R. (2008) Agent-based models in economics. M.: ZAO “Izdatelstvo “Ekonomika””.]
Гуц, А. К., Гуцын, В. В., Лаптев, А. А., Паутова, Л. А., & Фролова, Ю. В. (Eds.). (2000) Математические модели социальных систем. Омский государственный университет. [Guts, A. K., Gutsyn, V. V., Laptev, A. A., Pautova, L. A. & Frolova, Y. V. (Eds.) (2000) Mathematical Models of Social Systems. Omsk State University.]
Енюков, И. С. (1989) Основные понятия и определения, используемые в методах классификации без обучения (С. А. Айвазян (Ed.)). М:. Финансы и статистика. [Yenukov, I. S. (1989) Basic concepts and definitions used in methods of classification without training (S. A. Aivazyan (Ed.)). M:. Finance and Statistics.]
Жамбю, М. (1988) Иерархический кластер-анализ и соответствия. М.: Финансы и статистика. [Jambu, M. (1988) Hierarchical cluster-analysis and correspondences. M.: Finansy i statistika.]
Зиновьев, А. Ю. (2000) Визуализация многомерных данных. Изд. КГТУ.[ Zinoviev, A. Y. (2000) Visualisation of multidimensional data. Publishing House of KSTU.]
Истратов, В. А. (2006) Простая компьютерная модель поведения человека. Искусственные Общества, 1(1). [Istratov, V. A. (2006) Simple computer model of human behaviour. Artificial Societies, 1(1).]
Истратов, В. А. (2018) Компьютерный алгоритм формирования личных и социальных норм. Экономика и Математические Методы, 54(4), 98–100. [Istratov, V. A. (2018) Computer algorithm for the formation of personal and social norms. Economics and Mathematical Methods, 54(4), 98–100.]
Кендалл, М., & Стьюарт, А. (1973) Статистические выводы и связи. М.: Наука. [Kendall, M., & Stewart, A. (1973) Statistical conclusions and connections. M.: Nauka.]
Макаров, В. Л. (2006) Искусственные общества. Искусственные Общества, 1(1). [Makarov, V. L. (2006) Artificial societies. Artificial Societies, 1(1).]
Макаров, В. Л., & Бахтизин, А. Р. (2013) Социальное моделирование – новый компьютерный прорыв (агент-ориентированные модели). М.: Экономика. [Makarov, V. L. & Bakhtizin, A. R. (2013) Social modelling as a new computer breakthrough (agent-based models). M.: Ekonomika.]
Мейжис, И. А., & Почебут, Л. Г. (2010) Социальная психология. М.: Питер. [Mejzhis, I. A. & Pochebut, L. G. (2010) Social psychology. M.: Piter.]
Соколов, А. В. (2002) Общая теория социальной коммуникации. СПб.: Изд-во Михайлова В. А. [Sokolov, A. V. (2002) General theory of social communication. SPb.: Idatelstvo Mikhailova V. A.]
Терехин, А. Т. (1973) Кластерный анализ и его применения в социально-экономических исследованиях. Автореферат кандидатской диссертации. Москва: ЦЭМИ РАН. [Terekhin, A. T. (1973) Cluster analysis and its applications in socio-economic research. Abstract of a PhD dissertation. Moscow: CEMI RAS.]
Andrukovich, P. (2021) The structure of an agent-oriented model of the formation of social groups from a random set of individuals (part 1). Herald of CEMI, 4(3–4). https://doi.org/10.33276/s265838870018166-5
Bales, B. (1962) Small Group. Holt, Rinehart & Winston.
Bonabeau, E. (2002) Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99(SUPPL. 3), 7280–7287. https://doi.org/10.1073/pnas.082080899
Braddock, R. (1958) An Extension of the “Lasswell Formula.” Journal of Communication, June 2015.
Jolliffe, I. T. (2002) Principal Component Analysis ( PCA ) Principal Component Analysis ( PCA ). In Springer Series in Statistics (Issue June, pp. 1–12). Springer.
Katz, L., Hare, P., Borgatta, E. F., & Bales, R. F. (1956) Small Groups: Studies in Social Interaction. In A. P. Hare (Ed.), Journal of the American Statistical Association (Vol. 51, Issue 274). Knopf. https://doi.org/10.2307/2281386
Mes, M., & Gerrits, B. (2019) Multi-agent Systems. In G. Weiss (Ed.), Lecture Notes in Logistics. MIT Press. https://doi.org/10.1007/978-3-319-92447-2_27
Pearson, K. (1901) LIII. On lines and planes of closest fit to systems of points in space . The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2(11), 559–572. https://doi.org/10.1080/14786440109462720



















