Abstract and Applied Analysis

Coupled Network Systems and Their Collective Behavior

Publishing date
14 Feb 2014
Submission deadline
27 Sep 2013

Lead Editor

1Department of Mathematics, Southeast University, Nanjing 210096, China

2Department of Mathematics, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia

3Department of Mathematics, Chongqing Normal University, Chongqing 400047, China

4Department of Mathematics, Chongqing Jiaotong University, Chongqing 400074, China

Coupled Network Systems and Their Collective Behavior


Coupled network systems (CNSs) consist of many small, inexpensive agents, in which each agent is capable of collecting signals, processing information, and communicating with neighboring agents. Due to their wide applications in many fields including mobile sensor networks and Unmanned Aerial Vehicles, CNSs have attracted many researchers from different areas of sciences and technologies, ranging from mathematics and physics to computer science. Node collaboration is the key for the success of CNSs due to the fact that each node itself is limited by communication range, power, and processing ability. In the process of the nodes’ signal exchanging, an interesting aspect of the dynamics in CNSs is that certain types of globally collective behavior emerge from local interactions among the nodes. Such behavior arises ubiquitously in biological systems, ecosystems, and physical systems.

This special issue focuses on the dynamics of coupled network systems and their collective behavior, and it aims to bring together the most recent developments and knowledge in some related fields. Potential topics include, but are not limited to:

  • Synchronization of complex dynamical networks
  • Consensus of multiagent systems
  • Distributed coordination via adaptive control
  • Synchronization in oscillator networks and power systems
  • Collaboration under communication constraints
  • Delay effects on synchronization and consensus
  • Modeling and control of Boolean control networks
  • Dynamical networks with impulse
  • Filtering and identification problems in complex networks
  • Social network analysis
  • Dynamics in biological systems

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/aaa/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/aaa/cnsc/ according to the following timetable:

Abstract and Applied Analysis
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Acceptance rate14%
Submission to final decision40 days
Acceptance to publication54 days
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