Networks, Crowds, and Markets Author: David Easley | Language: English | ISBN:
B009019RPE | Format: EPUB
Networks, Crowds, and Markets Description
Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the Internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others.
- File Size: 6812 KB
- Print Length: 744 pages
- Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
- Publisher: Cambridge University Press (July 19, 2010)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B009019RPE
- Text-to-Speech: Enabled
X-Ray:
- Lending: Not Enabled
- Amazon Best Sellers Rank: #169,284 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #18
in Kindle Store > Kindle eBooks > Nonfiction > Science > Physics > System Theory - #18
in Kindle Store > Kindle eBooks > Nonfiction > Professional & Technical > Professional Science > Physics > System Theory - #25
in Kindle Store > Kindle eBooks > Nonfiction > Science > Mathematics > Chaos & Systems
- #18
in Kindle Store > Kindle eBooks > Nonfiction > Science > Physics > System Theory - #18
in Kindle Store > Kindle eBooks > Nonfiction > Professional & Technical > Professional Science > Physics > System Theory - #25
in Kindle Store > Kindle eBooks > Nonfiction > Science > Mathematics > Chaos & Systems
I've been working through this book over the past three months and I have to say that it is one of the best books that I have read all year. It covers a wide range of topics related to markets, networks and crowd behavior and each section generally begins with a simple model to gain an initial understanding of the behavior of a particular situation, which is then progressively elaborated to reveal deeper insights. The models are continually compared to real world situations and discussion of the models helps to deepen your understanding of why some results which at first appear counter-intuitive, make sense. The exercises at the end of each chapter are just hard enough to test your understanding of the material, while still being easy enough to know whether your answers make sense. In the end, you are left with a more intuitive understanding of the phenomena and situations discussed encouraging deeper insight into how the world works. What is also interesting is the range of applicability of these models: from auctions and epidemics, to information cascades, building markets for new products, seeing how innovations spread through a population as well as network properties that block such spreading. The level of mathematics required to understand the models is not complex; basically a student in their final year of high school could follow most of the mathematics of the models. Having worked through this book, I feel more motivated to tackle more abstract treatments of Network Science, and I have also decided to explore some of the topics presented in greater depth (e.g. cascades)
By Mr. Ian D. Gray
Excellent introduction by two outstanding researchers. It introduces basic concepts on several fields (networks, game theory) together, in a way that no textbook does -in this era of over-specialization, a breadth of fresh air. Even though it minimizes formulas (it is directed to a general undergraduate audience) it does not abandon *rigor*, providing nice proofs of basic results. Very highly recommended to those who want/need an introduction to networks -even experts could probably learn a thing or two.
By Antonio
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