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.