Hybrid Conferencee

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

30th - 1st July 2026 | Philadelphia, USA
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Philadelphia. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Philadelphia event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Philadelphia conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Philadelphia, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Philadelphia."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSNAML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Machine Learning, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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