Hybrid Conference (In Person / Virtual)

International Conference on Social Network Analysis and Machine Learning (ICSNAML - 27)
27th - 28th April 2027 , Barcelona, Spain
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Call For Papers

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:

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

Assessment

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.