International Conference on Social Network Analysis and Machine Learning - (ICSNAML-26)


16th - 17th November, 2026 | Columbus, USA

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

17th October, 2026

Paper Submission Deadline

22nd October, 2026

Last Date Of Registration

1st November, 2026

Date Of Conference

16th - 17th November, 2026

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Call for Papers

The (ICSNAML-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.