Complex Social Networks
Complex Social Networks by Fernando Vega-Redondo, published by Cambridge University Press on January 8, 2007, offers a systematic and self-contained exploration of the evolving theory surrounding complex social networks. This 294-page book emphasizes the importance of social networks in understanding various socio-economic phenomena, contrasting traditional methodologies that often overlook complexity. Instead, it integrates complexity with incentive considerations central to economic analysis, providing a comprehensive overview of the subject.
Readers will find a detailed discussion of foundational models such as random networks, small worlds, and scale-free networks, which serve as benchmarks in the complex-network literature. The book delves into three critical forces—diffusion, search, and play—that underpin network phenomena in social contexts. These elements are synthesized into a unified framework addressing network formation and the coevolution of agents’ behavior and interaction patterns, making it a valuable resource for those interested in the intersections of economics, social science, and mathematics.
Official synopsis Publisher
This 2007 book provides a systematic and self-contained account of the fast-developing theory of complex social networks. Social networks are central to the understanding of most socio-economic phenomena in the modern world. The classical approach to studying them relies on a methodology that abstracts from their size and complexity. In contrast, the approach taken in this book keeps complexity at the core, whilst integrating it with the incentive considerations that are preeminent in traditional economic analysis. The treatment starts with a detailed discussion of the basic models that act as ‘benchmarks’ for the complex-network literature: random networks, small worlds, and scale-free networks, before studying three different forces that underlie almost all network phenomena in social contexts: diffusion, search, and play. Finally, these forces are combined into a unified framework that is brought to bear on the issue of network formation and the coevolution of agents’ behaviour and their pattern of interaction.
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