By Ted G. Lewis(auth.)
A entire examine the rising technology of networks
community technological know-how is helping you layout swifter, extra resilient communique networks; revise infrastructure structures reminiscent of electricity grids, telecommunications networks, and airline routes; version marketplace dynamics; comprehend synchronization in organic platforms; and research social interactions between humans.
this is often the 1st booklet to take a finished examine this rising technology. It examines a few of the varieties of networks (regular, random, small-world, effect, scale-free, and social) and applies community approaches and behaviors to emergence, epidemics, synchrony, and possibility. The book's forte lies in its integration of techniques throughout laptop technology, biology, physics, social community research, economics, and advertising.
The ebook is split into easy-to-understand topical chapters and the presentation is augmented with transparent illustrations, difficulties and solutions, examples, purposes, tutorials, and a dialogue of comparable Java software program. Chapters disguise:
- Origins
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Graphs
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common Networks
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Random Networks
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Small-World Networks
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Scale-Free Networks
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Emergence
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Epidemics
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Synchrony
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effect Networks
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Vulnerability
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internet achieve
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Biology
This e-book bargains a brand new figuring out and interpretation of the sector of community technology. it truly is an vital source for researchers, pros, and technicians in engineering, computing, and biology. It additionally serves as a worthy textbook for complex undergraduate and graduate classes in similar fields of study.Content:
Chapter 1 Origins (pages 1–22):
Chapter 2 Graphs (pages 23–69):
Chapter three common Networks (pages 71–96):
Chapter four Random Networks (pages 97–130):
Chapter five Small?World Networks (pages 131–175):
Chapter 6 Scale?Free Networks (pages 177–215):
Chapter 7 Emergence (pages 217–260):
Chapter eight Epidemics (pages 261–298):
Chapter nine Synchrony (pages 299–335):
Chapter 10 effect Networks (pages 337–373):
Chapter eleven Vulnerability (pages 375–431):
Chapter 12 NetGain (pages 433–467):
Chapter thirteen Biology (pages 469–491):
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Additional resources for Network Science: Theory and Practice
Example text
4. Autonomy. A network forms by the autonomous and spontaneous action of independent nodes that “volunteer” to come together (link), rather than through central control or central planning. Structure and function arise out of chaos, more as a result of serendipity than determinism. Examples are formation of large conglomerates from the merger of small companies; emergence of large cities from small communities; and formation of global telecommunication systems from linking of many smaller, local, independent operators.
On the other hand, N may be cities on a map, and L may be the roads and highways that connect them. Graphs are abstractions, which is why we can apply them to many diverse realworld situations. In computer science, nodes and links form data structures, which define networks to be stored and processed. The nodes and links can represent anything because data structures are abstract entities that live only within the confines of software. Therefore, graphs and networks are models of social, physical, and mathematical structures.
20 ORIGINS change in a certain property. For example, on the Internet, a group of teenagers will form a social clique 10 times larger than expected from purely random behavior, because the clique is formed by preferential attachment; the top 1% of Americans make 10 times more money than the average American; the popularity of a few movie stars is 10 times greater than the popularity of the average movie star; and the largest cities in the world are relatively rare, and are 10 times larger than the average city.