THE IMPORTANCE OF DIVIDING SOCIAL NETWORKS INTO COMMUNITIES IN THE ECONOMY

Authors

  • Azimov Farhod Senior Lecturer of TMC Institute in Tashkent

Keywords:

Social Networks, Communities, Economy, Resource Allocation, Market Segmentation, Entrepreneurship, Innovation, Economic Resilience, Economic Downturn, Financial Inclusion, Economic Empowerment, Information Asymmetry, Personalization, Customer Loyalty, Market Gaps, Localized Sharing, Digital Divide, Data Privacy.

Abstract

This article discusses the significant economic benefits associated with strategically dividing social networks into communities. The structure and various functions of these segmented social networks can contribute to enhanced resource allocation, effective market segmentation, crucial innovation and entrepreneurship, and robust support during economic downturns. Meanwhile, they can foster financial inclusion, promoting economic opportunities for traditionally underserved groups in society. Balancing these benefits with potential negative impacts such as privacy concerns, echo chambers, and the digital divide are also underscored for prudent and responsible usage of this digital tool.

References

Zakhidov D., Jurabek U. DIVISION OF SOCIAL NETWORKS INTO TWO COMMUNITIES USING THE MAXIMUM LIKELIHOOD METHOD //Horizon: Journal of Humanity and Artificial Intelligence. – 2023. – Т. 2. – №. 5. – С. 689-694.

Zakhidov D., Bektosh S. DIVISION OF HEPTAGONAL SOCIAL NETWORKS INTO TWO COMMUNITIES BY THE MAXIMUM LIKELIHOOD METHOD //Horizon: Journal of Humanity and Artificial Intelligence. – 2023. – Т. 2. – №. 5. – С. 641-645.

Zaxidov, D., & Xolmurodov, F. (2022). IJTIMOIY TARMOQLAR JAMOALARINI ANIQLASHDA MAKSIMAL HAQIQATGA O’XSHASHLIK METODINI QO‘LLASH. Евразийский журнал математической теории и компьютерных наук, 2(6), 29–33. извлечено от https://www.in-academy.uz/index.php/EJMTCS/article/view/2607

Dilshodbek, Z., & Bektosh, S. (2023). THE MAXIMUM REALIZATION METHOD OF COMMUNITY GROUPING IN SOCIAL NETWORKS. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4(5), 56-61. https://doi.org/10.17605/OSF.IO/5RQ2S

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Published

2023-11-15

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Section

Articles