International Conference on Social Network Analysis and Mining ICSNAM on July 19-20, 2025 in Paris, France

Adoption of new services on social network platforms
Agent based social simulation, agent based computational models
Anomaly detection in social network evolution
Application of social network analysis
Application of social network mining
Communities discovery and analysis in large scale online social networks
Connection between biological similarities and social network formulation
Contextual social network analysis
Contextual social network mining
Crime data mining and network analysis
Cyber anthropology
Dark Web
Data models for social networks and social media
Data protection inside communities
Detection of communities by document analysis
Dynamics and evolution patterns of social networks
Economical impact of social network discovery
Evolution of patterns in the Web
Evolution of communities in the Web
Evolution of communities in organizations
Geography of social networks
Impact of social networks on recommendations systems
Incorporating social information in query processing and query optimization
Information acquisition and establishment of social relations
Influence of cultural aspects on the formation of communities
Knowledge networks
Large-scale graph algorithms for social network analysis
Misbehavior detection in communities
Migration between communities
Multi-Actor/Multiple-Relationship Networks
Multi-agent based social network modeling and analysis
Open source intelligence
Pattern presentation for end-users and experts
Personalization for search and for social interaction
Preparing data for Web mining
Political impact of social network discovery
Privacy, security and civil liberty issues
Recommendations for product purchase, information acquisition and establishment of social relations
Recommendation networks
Scalability of social networks
Scalability of Search algorithms on social networks
Social and cultural anthropology
Social geography
Social psychology of information diffusion
Spatial Networks
Statistical modeling of large networks
Temporal analysis on social networks topologies
Trust networks, evolution of trust
Visual representation of dynamic social networks
Web mining algorithms
Web communities