This article explores the application of the maximum likelihood method in dividing social networks into three distinct communities, with a focus on its implications for economic analysis. By leveraging this approach, economists can uncover hidden patterns in social interactions, enabling more precise market segmentation, targeted marketing strategies, and informed policy-making. The method is particularly useful in identifying key influencers and understanding the dynamics of innovation diffusion, financial networks, labor markets, and consumer behavior. Through practical examples, the article demonstrates how this technique can provide valuable insights into economic landscapes, enhancing our understanding of complex economic systems and informing more effective economic strategies.
| Mualliflar | Usarov, Jurabek |
|---|---|
| Jurnal | Рақамли иқтисодиёт ва ахборот технологиялари |
| Nashr sanasi | 2024-03-30 |
| Jild | 4 |
| Son | 1 |
| Betlar | 12-20 |
| Til | Ingliz |
Social Networks, Maximum Likelihood Method, Economic, Analysis, Market Segmentation, Innovation Diffusion, Financial Networks, Labor Markets, Consumer Behavior, Targeted Marketing, Network Communities
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Рақамли иқтисодиёт ва ахборот технологиялари — barcha maqolalar