Complex Adaptive Systems Modeling

Aims & Scope

Complex Adaptive Modeling Systems will cease to be published by SpringerOpen as of December 31st, 2020, and submissions will be closed as of May 31st, 2020.

SpringerOpen will continue to host an archive of all articles previously published in the journal and all articles published in Complex Adaptive Modeling Systems during its time with SpringerOpen will remain fully searchable via the SpringerOpen website.

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.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.