(Extended deadline)
This special issue of Springer Complex Adaptive Systems Modeling (CASM) 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, simulated or analyzed using tools such as Gephi, Network Workbench, Visone, Cytoscape, Pajek and others).
- Agent-based models (such as based on NetLogo, Repast, Mason, Swarm and others)

Modern computer communication networks often involve a large number of interacting and adapting entities or nodes. These nodes can be modeled as agents interacting with each other as well as adapting over time as well as space. While a large body of literature exists on the modeling and simulation of computer networks, most current models do not cater for this emergent complex nature of networks even though such networks can be better represented as Complex Adaptive Systems (CAS), a special class of complex systems. Meanwhile, a large and multidisciplinary CAS community has evolved well-developed methods and techniques for the modeling and simulation of CAS including the use of techniques such as complex networks and Agent-based Modeling; both of which have been demonstrated to be effective approaches for the modeling of different aspects of CAS.
Recent work has demonstrated the utility of using either of these approaches for the modeling of computer communication networks. This special issue of CASM aims to consolidate such research on the use of these CAS modeling techniques in the modeling of modern large-scale Complex communication networks or Complex Adaptive COmmunicatiOn Networks and EnvironmentS (CACOONS).

Papers submitted to the special issue conform to the scope of the journal CASM and include a detailed cover letter as outlined here: http://www.casmodeling.com/about

Topics of interest include areas such as but not limited to the agent-based/complex network-based modeling and Simulation of:
- Multiagent systems
- Cognitive Sensor Networks
- Wireless Sensor Networks
- Sensor Actuator Networks
- Cloud computing infra-structures
- Internet of Things
- Service-oriented architectures
- Pervasive/Mobile Computing
- Peer-to-peer networks

Deadline: March, 15, 2012
First Decision: Typically within 5 weeks of submission

About Springer Complex Adaptive Systems Modeling Journal
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). CASM is part of the SpringerOpen/BioMed Central journals suite, which is the world's largest open access publisher. CASM offers a fast peer-review and publication policy.

Other features of SpringerOpen include:
- Portability of peer-review across journals
- Open access – publications are freely available online
- High-level peer review, production and publishing processes
- Authors retain copyright to their work
- High visibility through different platforms
- Easy compliance with open access mandates
- Citation tracking and inclusion in bibliographic databases