Many of the systems that can be found in our environment can be modeled
as complex adaptive systems that consist of a dynamic network of agents
(which may represent individuals, businesses, services, resources) that
perform a set of activities in parallel and react to what other agents
are doing. Multi-agent systems are considered a suitable tool for the
study of complex adaptive systems and especially those distributed and
dynamic. The Workshop MAS for Complex Networks and Social Computation is
focused on providing a forum in which researchers from academia from
many disciplines and methodological backgrounds to form a forum to
discuss ideas, research questions, recent results, and future challenges
in this emerging area of research and public interest.

• Social computing
• Complex networks
• Bio-inspired complex systems
• Social network analysis
• Sensor networks
• Urban systems and networks
• Self-organizing dynamics on complex networks
• Social contagion processes
• Collective belief formation and revision
• Information diffusion
• Group formation, evolution and behavior analysis.
• Community detection
• Social simulation, cultural, opinion, and normative dynamics.
• Agent-based simulation of social systems.
• Search in complex networks
• Incentives and complexity in social networks
• Social problem solving
• Complex network robustness and vulnerability