Fatima Benbouzid-Si Tayeb
Ecole nationale Supérieure d’Informatique (ESI) – Algiers, Algria
E-mail: f_sitayeb@esi.dz


Karima Benatchba
Ecole nationale Supérieure d’Informatique (ESI) – Algiers, Algria
E-mail: k_benatchba@esi.dz


Malika Bessedik
Ecole nationale Supérieure d’Informatique (ESI) – Algiers, Algria
E-mail: m_bessedik@esi.dz

The growing significance of social networks and its analysis cannot be overstated in today's digital age. Social platforms have evolved into powerful tools for communication, marketing, and information dissemination, making them a focal point for businesses, individuals, and even governments. The ability to analyze social media data provides invaluable insights into consumer behavior, market trends, and public sentiment. As the world becomes increasingly interconnected through these networks, understanding and analyzing the data they generate has become a crucial aspect of decision-making, allowing us to stay ahead in a rapidly changing, data-driven landscape.

The growing interest in machine learning and artificial intelligence (AI) methods for social network analysis is undeniable. Thanks to these advanced techniques, researchers, businesses, and marketing professionals can extract valuable insights from the vast amount of data generated by social platforms. Machine learning enables trend detection, sentiment analysis, future behavior prediction, and even personalized online experiences. This convergence of social media and machine learning holds immense potential for better understanding social dynamics and enhancing strategies in various fields, from targeted advertising to competitive intelligence.

In this context, the primary objective of the AI-SNet 2024 session is to gather scientists, researchers, engineers, and professionals with the purpose of exchanging over cutting-edge research on artificial intelligence and social data analytics. The emphasis lies on novel approaches, models, and applications that leverage AI and machine learning techniques to analyze social data and derive valuable insights. The scope of AI-SNet 2024 encompasses a wide range of topics, including, but not limited to, the utilization of various AI and machine learning methods for:

Paper submission: January 15, 2024 (hard deadline)
Notification of acceptance: February 28, 2024
Camera-ready papers: March 15, 2024
Registration & payment: March 15, 2024
Conference date: April 15-18, 2024