
Ushbu maqola sun’iy intellekt (SI) texnologiyalari yordamida hududlarning ijtimoiy tabaqalashuv darajasini aniqlash va monitoring qilishga mo‘ljallangan platforma konsepsiyasini iqtisodiy-sotsiologik nuqtai nazardan tahlil qiladi. Tadqiqot adabiyotlar sintezi asosida hududiy stratifikatsiyani o‘lchash uchun indikatorlar to‘plamini ishlab chiqdi, ma’lumotlar integratsiyasi va anonimlashtirish tamoyillarini belgiladi va HITI (Hududiy Ijtimoiy Tabaqalashuv Indeksi)ni taklif etdi. Pilot sinovlar ma’muriy va so‘rov ma’lumotlari asosida bir nechta hududlarda HITI ni hisoblab, hududlarning yuqori, o‘rta va past tabaqalarini aniqladi. SHAP interpretatsiyasi daromad dispersiyasi, ta’lim darajasi, internet tezligi va raqamli ko‘nikma indeksini HITI ga eng katta ta’sir ko‘rsatuvchi omillar sifatida ko‘rsatdi. Klasterlash natijalari hamda anomaliya detektsiyasi platformaning hududiy tafovutlarni aniqlash va siyosiy intervensiyalarni maqsadga muvofiq yo‘naltirishdagi amaliy qiymatini tasdiqlaydi.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
