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International Conference on Social Network Analysis and Machine Learning - (ICSNAML-27)

13th - 14th January 2027 , Greater Valparaiso - Chile

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Call For Papers

The (ICSNAML-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Machine Learning are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

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