The 17th International Conference on Advances in Social Network Analysis and Mining (ASONAM) provides an interdisciplinary forum to bring together researchers and practitioners from all fields related to Social Networking Analysis and Mining. The conference is a venue for presenting original research results, as well as discussing and disseminating innovative and practical development experiences. ASONAM 2025 seeks to address important problems through the scientific investigation of socio-technical systems, the development of fundamental technologies, and the study of emerging applications associated with social networking analysis and mining. To fully embrace the fast-growing and vigorously dynamic landscape of social networks and their applications, ASONAM is eager to consider any breakthroughs in social network analysis and mining in the broadest possible sense.

General areas of interest include three major aspects:

    Social and media analysis (e.g., data science, communications, economics, sociology, psychology, anthropology, applied linguistics, etc.)
    Network science (e.g., mathematical models, theory, algorithms, etc.)
    Machine Learning and AI applied to social networks (e.g., graph neural networks, representation learning, etc.)
    Technology and applications (e.g., systems, tools, crowdsourcing, etc.)