Presented under the auspices of the Special Focus on Computation and the Socio-Economic Sciences, the Special Focus on Computational and Mathematical Epidemiology and The Center for Dynamic Data Analysis (DyDAn).
A substantial body of research in various sciences aims at understanding the dynamics and patterns of interactions within populations, in particular how social groups arise and evolve. As a result of the advances in communications and computing technology, extreme amounts of data are being accumulated representing the evolution of large scale communication networks, such as the WWW, chatrooms, Blogs, and networks of bluetooth enabled handheld devices. Moreover, as small sensors become largely available and affordable, new research areas are exploiting the social networks resulting from those sensor networks data. Finding patterns of social interaction within a population has been addressed in a wide range applications including: disease modeling cultural and information transmission, intelligence and surveillance, business management, conservation biology and behavioral ecology.
The workshop will focus on two complementary themes. On one hand it will address the emerging importance of electronic communication networks, their social implications and how those facilitate the organization and coordination of activities of social groups. The second theme of the workshop is adapting and extending the computational methods developed in the context of communication and computer networks to the social interaction networks.