The IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) provides a premier interdisciplinary forum to bring together researchers and practitioners from different disciplines using social network analysis and mining. ASONAM hosts presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. ASONAM 2017 is intended to address important aspects with a specific focus on the emerging trends and industry needs associated with social networking analysis and mining. The conference solicits experimental and theoretical works on social network analysis and mining along with their application to real life situations.
Within the general conference, the ASONAM 2017 multidisciplinary track will include the intersections of social network analysis and mathematics, communication, business management, statistics, scientometrics, sociology, psychology, anthropology, history, archeology, political sciences, applied linguistics, chemistry, neuroscience, biology, physics and health.
Papers of interest include, but are not limited to, the following topics:
- Methodological problems in large network studies
- Statistical methods for the analysis of network data
- Structural network properties
- Community detection and structure in large networks
- Network Visualization
- Dynamics and evolution patterns of large and complex networks
- Social and media analysis
- Knowledge and innovation networks
- Cultural networks
- Adolescent and peer networks
- Social movements and civic organization networks
- Analysis of communication, collaboration, organizational, economic, trade, political, governance, or criminal networks
- Network analysis in human and social sciences (e.g., anthropology, psychology, sociology, history, law, archeology, etc.)
- Computational social science
- Politics and networks
- Complex systems, physics and networks