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

SYSTEMS & INFRASTRUCTURE

Systems and algorithms for social searchInfrastructure support for social networks and systemsDynamics and evolution patterns of large and complex networksSocial properties in systems designLearnings from operational social networksData CollectionBig Data and Social Paradigms

ALGORITHMS AND MODELS

Deep Learning and Knowledge Discovery.Measurement and analysis of social and crowdsourcing systemsBenchmarking, modeling, performance and workload characterizationModeling Social Networks and behaviorManagement of social network dataStreaming algorithms for social dataKnowledge and innovation networksMethods for social and media analysisModels for network dataNetwork analysis in human and social sciencesInformation propagation and assimilation in social networksData mining and machine learning in social systems

APPLICATIONS

Novel social applications and systemsTransient OSNs (e.g. Snapchat)Special purpose OSNs (e.g., Instagram, Vine)Communities in social networksCollaboration networksNew models of advertising and monetization in social networksMobile advertising on OSNsNetwork visualizationSocial networks and online educationSentiment analysis on OSNsMultilingual social networksSocial networks as agents of societal change

PRIVACY & SECURITY

Privacy and security in social systemsTrust and reputations in social systemsDetection, analysis, prevention of spam, phishing, and misbehavior in social systems