Call For Papers
The ICSNAML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Machine Learning, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Social media analytics using machine learning
- Network dynamics and machine learning applications
- Sentiment analysis in social networks
- Community detection algorithms in networks
- Influence propagation in social media
- Machine learning for misinformation detection
- User behavior modeling with AI
- Privacy issues in social network analysis
- Data mining techniques for social networks
- Social network visualization using ML
- Impact of social networks on society
- Collaborative filtering in social platforms
- Machine learning for recommendation systems
- Ethics of AI in social media
- Real-time analysis of social trends
- User engagement strategies using AI
- Machine learning for political analysis
- Social network evolution and dynamics
- Future of social network technologies
- Interdisciplinary approaches to social network analysis
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.