Editor in Chief

  • Muaz A. Niazi, Bahria University

Articles

There has been an error retrieving the data. Please try again.

Open thematic series

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: June 15, 2013


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

Facebook

Aims & scope

cover

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.

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, Bahria University


Tamas
"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

About SpringerOpen

SpringerOpenSpringerOpen is Springer’s new suite of open access journals which will cover all disciplines. SpringerOpen journals are fully and immediately open access and will publish articles under the Creative Commons Attribution license. This makes it easy for authors to fully comply with open access mandates and retain copyright. SpringerOpen journals combine open access and our expertise in delivering high-quality and rapid publications, from online submission systems and in-depth peer review to an efficient, author-friendly production process.

Springer Knight
Submit a manuscript Sign up for article alerts Contact us Find us on Facebook Support

SpringerOpen Newsletter

Receive periodic news and updates relating to SpringerOpen.

Indexed by

  • Google Scholar
  • OCLC
  • Scirus
  • Summon by Serial Solutions

View all

ISSN: 2194-3206