Generation Model of Scale-Free Networks
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The generation model of scale-free networks represents a versatile source code implementation capable of constructing networks of arbitrary sizes. These networks exhibit the distinctive characteristic of lacking central nodes, where each node possesses equal probability to connect with others. Scale-free networks form the foundation of numerous complex systems, including social networks, internet infrastructures, and biological networks. The implementation typically employs preferential attachment algorithms where new nodes connect to existing nodes with probability proportional to their degree. Understanding this generation model is crucial for analyzing the structural properties and behavioral dynamics of complex systems, with key functions handling network initialization, connection probability calculations, and degree distribution validation.
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