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Introduction to the Series
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.
Submissions will be reviewed on a rolling basis.
First reviews typically expected within 6 weeks of submission.
Springer Complex Adaptive Systems Modeling
Lead guest editor:
Matjaz Perc, University of Maribor | [log in to unmask]
Muaz A. Niazi, Bahria University | [log in to unmask]
Email: [log in to unmask], [log in to unmask]
Alternate: [log in to unmask]
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