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Hybrid Event

30th - 1st July 2026 | Montreal, Canada

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

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICSNAML) 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:

01
Social media analytics using machine learning
02
Network dynamics and machine learning applications
03
Sentiment analysis in social networks
04
Community detection algorithms in networks
05
Influence propagation in social media
06
Machine learning for misinformation detection
07
User behavior modeling with AI
08
Privacy issues in social network analysis
09
Data mining techniques for social networks
10
Social network visualization using ML
11
Impact of social networks on society
12
Collaborative filtering in social platforms
13
Machine learning for recommendation systems
14
Ethics of AI in social media
15
Real-time analysis of social trends
16
User engagement strategies using AI
17
Machine learning for political analysis
18
Social network evolution and dynamics
19
Future of social network technologies
20
Interdisciplinary approaches to social network analysis

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.