Complex Social Networks / by Fernando Vega-Redondo. [Electronic Resource]
Material type: Computer fileSeries: Econometric Society MonographsPublication details: Cambridge : Cambridge University Press, 2007Description: xiv, 295pISBN:- 9780511804052
- 302.35Â V521C
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 302.35 V521C (Browse shelf(Opens below)) | Available (e-Book For Access) | Platform : Cambridge Core | EB0414 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
301 J63F The Forest and the Trees : Sociology As Life, Practice, and Promise | 302.2242 J421T Transcribing Talk and Interaction : Issues in the representation of communication data | 302.231 Er66D Digital Memory and the Archive | 302.35 V521C Complex Social Networks | 303.483 B764N New Dark Age : Technology and the End of the Future | 303.4834 G314D Digital Culture | 304.25 D921C Climate Change and Society : Sociological Perspectives |
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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