How to Cite
Abstract
Hashtag trendlarni aniqlash algoritmlari ijtimoiy tarmoqlarda mashhur mavzularni aniqlash va ularning rivojlanish dinamikasini tahlil qilishda muhim ahamiyatga ega. Ushbu algoritmlar foydalanuvchilar tomonidan yaratilgan postlar, ularning soni, vaqt bo‘yicha tarqalishi va o‘zaro bog‘liqligini o‘rganib, eng ommabop hashtaglarni ajratib ko‘rsatadi. Natijada real vaqt rejimida trendlarni kuzatish, axborot oqimini tahlil qilish va foydalanuvchi xulq-atvorini tushunish imkoniyati yaratiladi. Mazkur mavzu axborot texnologiyalari, marketing va data tahlili sohalarida katta ahamiyat kasb etadi.
References
Kwak H., Lee C., Park H., Moon S. What is Twitter, a Social Network or a News Media? — Proceedings of the 19th International World Wide Web Conference, 2010.
Benhardus J., Kalita J. Streaming trend detection in Twitter. — International Journal of Web Based Communities, 2013.
Alsaedi N., Burnap P., Rana O. A Combined Classification-Clustering Framework for Identifying Trending Hashtags in Twitter. — IEEE Transactions on Systems, Man, and Cybernetics, 2017.
Cataldi M., Di Caro L., Schifanella C. Emerging Topic Detection on Twitter Based on Temporal and Social Information. — Proceedings of the Tenth International Workshop on Multimedia Data Mining, 2010.
Popescu A. Detecting popular topics in Twitter. — Journal of Social Network Analysis and Mining, 2013.
Goudjil M., Azouaou F., Benslimane S.M. Trend Detection in Social Networks: A Survey. — International Journal of Computer Applications, 2018.
Li X., Lei Y., Chen K. A Real-Time Trending Topics Detection and Prediction System in Social Networks. — IEEE Access Journal, 2020.
Russell M. Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram and More. — O’Reilly Media, 2018.
Aggarwal C. Social Network Data Analytics. — Springer, 2011.
YouTube, Twitter va Instagram rasmiy hujjatlari, API ma’lumotnomalari va texnik dokumentatsiyalari.