Aims and 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.
In general, submitted papers should have the following key elements:
- A clear focus on a specific area of CAS E.g. ecology, social sciences, large scale communication networks, biological sciences etc.)
- Either focus on an agent-based simulation model or else a complex network model based on data from CAS (e.g. Citation networks, Gene regulatory Networks, Social networks, Ecological Networks etc.).
- CASM has a strongly multidisciplinary editorial board and readership. Therefore authors need to be very careful that their articles have been written in a style that is comprehensible by a broad and multidisciplinary audience. Authors must avoid excessive usage of domain-specific jargon/terminologies without formally introducing these terms in the article. In addition, any concepts specific to a discipline must be explained in the article for the general readership of CASM. Thus, an article on Gene regulatory networks should be written with the goal that it may also be accessible to a number of social science researchers using Social Network Analysis and vice versa. Likewise an article written by Computer Scientists for Wireless sensor networks must also take into consideration CASM readership of researchers from Social and Biological Sciences and so on.
- Authors are advised to use general terms (such as agent-based modeling and complex networks) instead of using domain-specific terms, wherever possible.
- Submissions which are not in line with the above criteria or those which are of a purely or largely theoretical/Mathematical nature or have been written in a very domain specific manner or appear to have a limited audience may be considered as out of scope of CASM and rejected without review.
For information regarding example topics and cover letter requirements, see Publication and peer review process, below.
Why publish your article in Complex Adaptive Systems Modeling?
Complex Adaptive Systems Modeling's open access policy allows maximum visibility of articles published in the journal as they are available to a wide, global audience.
Speed of publication
Complex Adaptive Systems Modeling offers a fast publication schedule whilst maintaining rigorous peer review; all articles must be submitted online, and peer review is managed fully electronically (articles are distributed in PDF form, which is automatically generated from the submitted files). Articles will be published with their final citation after acceptance, in both fully browsable web form, and as a formatted PDF; the article will then be available through Complex Adaptive Systems Modeling and SpringerOpen.
Online publication in Complex Adaptive Systems Modeling gives you the opportunity to publish large datasets, large numbers of color illustrations and moving pictures, to display data in a form that can be read directly by other software packages so as to allow readers to manipulate the data for themselves, and to create all relevant links (for example, to PubMed, to sequence and other databases, and to other articles).
Promotion and press coverage
Articles published in Complex Adaptive Systems Modeling are included in article alerts and regular email updates.
In addition, articles published in Complex Adaptive Systems Modeling may be promoted by press releases to the general or scientific press. These activities increase the exposure and number of accesses for articles published in Complex Adaptive Systems Modeling.
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Complex Adaptive Systems Modeling operates a single-blind peer-review system, where the reviewers are aware of the names and affiliations of the authors, but the reviewer reports provided to authors are anonymous.
The benefit of single-blind peer review is that it is the traditional model of peer review that many reviewers are comfortable with, and it facilitates a dispassionate critique of a manuscript.
Submitted manuscripts will generally be reviewed by two or more experts who will be asked to evaluate whether the manuscript is scientifically sound and coherent, whether it duplicates already published work, and whether or not the manuscript is sufficiently clear for publication. The Editors will reach a decision based on these reports and, where necessary, they will consult with members of the Editorial Board.
All manuscripts submitted to Complex Adaptive Systems Modeling should adhere to SpringerOpen's editorial policies.
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Citing articles in Complex Adaptive Systems Modeling
Articles in Complex Adaptive Systems Modeling should be cited in the same way as articles in a traditional journal. Because articles are not printed, they do not have page numbers; instead, they are given a unique article number.
Article citations follow this format:
Authors: Title. complex adapt syst model [year], [volume number]:[article number].
e.g. Roberts LD, Hassall DG, Winegar DA, Haselden JN, Nicholls AW, Griffin JL: Increased hepatic oxidative metabolism distinguishes the action of Peroxisome Proliferator-Activated Receptor delta from Peroxisome Proliferator-Activated Receptor gamma in the Ob/Ob mouse. complex adapt syst model 2009, 1:115.
refers to article 115 from Volume 1 of the journal.
Appeals and complaints
If you wish to appeal a rejection or make a complaint you should, in the first instance, contact the Editor who will provide details of the journal's complaints procedure.