Call for Papers

Social network analysis is the study of relationships between social entities, a field significantly enriched by the recent advances in internet technologies and social media platforms such as Facebook, Twitter, and LinkedIn. These platforms offer unprecedented opportunities for individuals to connect, communicate, and share their perspectives on a vast array of topics. The dynamic and ever-evolving nature of social networks, coupled with the massive scale of user participation, poses significant challenges for researchers, particularly in data mining and machine learning. The International Conference on Social Networks Analysis, Management and Security (SNAMS-2026) aims to provide a comprehensive forum for researchers, practitioners, and industry experts to present and discuss their latest findings and innovations in the realm of social network analysis. This conference seeks to explore the vast opportunities in social networks, addressing both theoretical and practical challenges. SNAMS-2026 is dedicated to fostering an environment where students, scientists, engineers, and researchers can exchange ideas, present novel research contributions, and share experiences across all facets of social networks. We invite original research contributions in a wide range of topics, including but not limited to:

GENERAL SOCIAL NETWORKS TOPICS
Data mining and machine learning techniques for social networks
Analysis of social media content and trends
Impact of social networks on society and human behavior
Network visualization and big data analytics
Algorithms and models for social network analysis.
Sentiment analysis and opinion mining in social media
Influence and information propagation in social networks
SYSTEMS & INFRASTRUCTURE
Systems and algorithms for social search.
Infrastructure support for social networks and systems.
Dynamics and evolution patterns of large and complex networks.
Social properties in systems design.
Learnings from operational social networks.
ALGORITHMS AND MODELS
Deep Learning and Knowledge Discovery.
Measurement and analysis of social and crowdsourcing systems.
Benchmarking, modeling, performance and workload characterization.
Modeling Social Networks and behavior.
Information propagation and assimilation in social networks.
SOCIAL NETWORK APPLICATIONS
Novel social applications and systems.
Communities in social networks
Social networks and online education.
Content sharing (posts, images, videos)
Multilingual social networks.
PRIVACY & SECURITY
Privacy and security in social systems.
Trust and reputations in social systems.
Detection, analysis, prevention of spam, phishing, and misbehavior in social systems.
ONLINE SOCIAL NETWORK
Special purpose Online Social Networks (e.g., Facebook, X (Twitter), Instagram, LinkedIn, TikTok).
Mobile advertising on Online Social Networks
Sentiment analysis on Online Social Networks.
BIG DATA AND SOCIAL NETWORKS
Network visualization and big data analytics.
Big data technologies for social network analysis .
Big Data and Social Paradigms