The Growth of Complexity Science Culture
In 2013 two new journals are going to be published covering network science and agent-based modelling. The publications are indicative of the growth of complexity science thinking, and this is further evidenced by the publication of an ebook on the application of complex networks to the arts and humanities.
The ebook is accompanied by a website which greatly enhances the book and features presentations from the influential NetSci conference. In the coming years we are no doubt going to see some amazing applications of network science to the arts and humanities.
Another journal which has caught my eye is the recently published EPJ Data Science, which explores data-driven science in the context of complex systems science. All three journals are going to prove to be important reading.
Network Science is a new journal for a new discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it.
Complex Adaptive Systems Modelling
Complex Network methods for Complex Adaptive Systems (CAS) have a widespread prevalence across literature spanning several disciplines from Biology and Social Sciences to Communication Networks. These network models are primarily developed using interaction data of various components or agents in a CAS. Subsequently analysis of these networks is performed using various network tools. This inaugural special issue of Springer Complex Adaptive Systems Modeling (CASM) comprises of papers in the domain of complex networks modeling, simulation, visualization and analysis.