Editor in Chief

  • Muaz A. Niazi, COMSATS Institute of IT


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Open thematic series

Interdependent Networks: Structure, Dynamics and Evolution

Not only are our interactions limited and thus best described not by well-mixed models but rather by models entailing networks, it is also a fact that these networks are often interconnected and indeed very much interdependent. From the World economy to Google Circles, it is clear that processes taking place in one network might affect what is happening in many other networks. Within an interdependent system, each type of interaction has certain relevance or meaning, so that treating all the links identically inevitably leads to information loss. Interdependent or multiplex networks are therefore a much better description of such systems, and this Special Issue is devoted to their structure, dynamics and evolution, as well as to the study of emergent properties in multi-layered systems in general. Topics of interest include but are not limited to the spread of epidemics and information, synchronization, diffusion, random walks, collective behavior and evolutionary games on interdependent networks.

Deadline for submissions: June 30, 2014

Modeling Large-scale Communication Networks Using Complex Networks and Agent-based Modeling Techniques

This Thematic Series intends to publish high quality original research as well as review articles on case studies, models and methods for the modeling and simulation of large-scale computer communication networks using either of the following two approaches:

  •  Complex networks (such as modeled using tools such as Gephi, Network Workbench and others)
  •  Agent-based models (such as based on NetLogo, Repast, Mason, Swarm and others)

Deadline for submissions: 30 September, 2014

Agent-based Modeling and Multiagent Systems

This thematic series is on methods, tools and applications of agents. The topics of interest in this series include papers in the area formed in the union of agent-based models applied to multiagent systems and the use of multiagent systems as agent-based models.

Deadline for submissions: 15 November, 2014

Physics-based Agent Models in Socio-Economic Dynamics

This special series originates from the workshop "SEDPAM - Socio-Economic Dynamics: Physics-based Agent Models" co-located at the European Conference on Complex Systems (ECCS) which was held in September 2014 at IMT Institute for Advanced Studies in Lucca (Italy); the Scientific Committee is composed by professors and researchers working in the field of Complex Systems. The satellite itself is intended to gather scholars coming from different areas, as witnessed by the presence of two invited speakers, working in the field of macro-economics and social sciences. Particular attention will be devoted to those papers whose authors have different backgrounds, in order to favor interdisciplinary collaborations between physicists, computer scientists, economists and social scientists (whose specific knowledge can complement the modeling attitude of the former), and moreover, presenting strongly data-driven researches, in order to develop models describing realistic systems.

Deadline for submissions: 30 April, 2015


Aims & scope


Complex Adaptive Systems Modeling (CASM) is a highly multidisciplinary modeling and simulation journal that serves as a unique forum for original, high-quality peer-reviewed papers with a specific interest and scope limited to agent-based and complex network-based modeling paradigms for Complex Adaptive Systems (CAS). The highly multidisciplinary scope of CASM spans any domain of CAS. Possible areas of interest range from the Life Sciences (E.g. Biological Networks and agent-based models), Ecology (E.g. Agent-based/Individual-based models), Social Sciences (Agent-based simulation, Social Network Analysis), Scientometrics (E.g. Citation Networks) to large-scale Complex Adaptive COmmunicatiOn Networks and environmentS (CACOONS) such as Wireless Sensor Networks (WSN), Body Sensor Networks, Peer-to-Peer (P2P) networks, pervasive mobile networks, service oriented architecture, smart grid and the Internet of Things.


If you have no funds to cover the Article Processing Charge (APC) and would like to apply for a waiver of the APC, please contact the Editor-in-Chief.

Editor's quote

Muaz A. Niazi
"Complex Adaptive Systems Modeling (CASM) is a unique high quality, peer-reviewed journal developed for multidisciplinary researchers with an interest in two modeling and simulation paradigms; namely agent-based modeling and complex networks. Researchers interested in the modeling and simulation of Complex Adaptive Systems range from the social sciences to life sciences and from computer sciences to archeology and ecology. A unique feature of CASM is the goal of bridging a gap between different disciplines without sacrificing readability of articles across its broad readership; articles published in CASM are expected to be written so as to be comprehensible by researchers not only from the same discipline but also understandable by readers from others. So, a computer science paper in CASM should be written so as to be accessible to Biologists, Social scientists and vice versa."

Editor in Chief
Muaz A. Niazi, COMSATS Institute of IT

"Paradoxically, the best way to understand complex systems is to design models that simulate their behavior from a particular perspective. This is why I find the CASM initiative important and timely."

Tamas Vicsek, Eotvos University
CASM Journal Advisory Board Member

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ISSN: 2194-3206