International Conference on Social Network Analysis and Machine Learning ICSNAML

Call For Papers

The ICSNAML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning , encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

👉 Confirm Your Participation Today

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

👉 Submit Your Paper Now

Hybrid Event