Flex Conference (Physical / Digital)

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

Call for Paper

The ICSNAML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Machine Learning encouraging participation from emerging researchers and fostering academic growth.

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

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :28th April 2027

Paper Submission Deadline :3rd May 2027

Last Date of Registration : 13th May 2027

Date of Conference : 28th - 29th May 2027