SNAMS 2025: The 12 International Conference on Social Networks Analysis, Management and Security
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-2025) 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-2025 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:Data mining and machine learning techniques for social networksSocial network dynamics and evolutionSecurity, privacy, and trust in social networksAnalysis of social media content and trendsImpact of social networks on society and human behaviorNetwork visualization and big data analyticsApplications of social network analysis in various domains (e.g., marketing, healthcare, education)Algorithms and models for social network analysisSentiment analysis and opinion mining in social mediaInfluence and information propagation in social networksIndustrial applications of social network analysisBig data technologies for social network analysisCloud and edge analytics for social networksSemantic analysis and knowledge graphs in social networksBusiness intelligence and decision-making based on social network dataEthical issues and governance in social network analysisReal-time and streaming analytics for social networksCase studies and best practices in social network managementIntegration of social network analysis with IoT and smart environmentsFakenews detectionBots and social mediaArtificial Intelligence and Machine Learning for Social Networks Analyisalso topics include the following
This conference invites submissions addressing, though not exclusively, the following areas: social networks analysis.