Agent-organized networks for dynamic team formation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Local strategy learning in networked multi-agent team formation
Autonomous Agents and Multi-Agent Systems
Methods for Coalition Formation in Adaptation-Based Social Networks
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Exploring Social Networks in Request for Proposal Dynamic Coalition Formation Problems
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Complex adaptive supply chain network: the state of the art
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Service coalitions for future internet services
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Complex networks: an engineering view
IEEE Circuits and Systems Magazine - Special issue on complex networks applications in circuits and systems
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Real-world complex networks such as the World Wide Web and social and biological interaction networks exhibit small-world behavior and an approximately scale-free degree distribution. More importantly, many of these networks prove highly resilient and survivable to environmental changes. These complex systems' ability to survive depends largely on their topological structure. Supply networks, usually modeled as multiagent systems, can be represented as complex networks with entities as nodes and the interactions between them as edges. Taking a topological perspective and applying the principles of complex network theory can illuminate strategies to improve supply networks' survivability.