The Rules of Contagion:Why Things Spread - and Why They Stop
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系列名:Wellcome Collection
ISBN13:9781788160193
出版社:Profile Books Ltd
作者:Adam Kucharski; Barrie; Francesca
出版日:2020/03/19
裝訂/頁數:精裝/288頁
規格:13.5cm*21.6cm (高/寬)
版次:無法解析
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'It is hard to imagine a more timely book ... much of the modern world will make more sense having read it.' The Times'Brilliant and authoritative' - Alex Bellos, author of Alex's Adventures in Numberland A deadly virus suddenly explodes into the population. A political movement gathers pace, and then quickly vanishes.
An idea takes off like wildfire, changing our world forever. We live in a world that's more interconnected than ever before. Our lives are shaped by outbreaks - of disease, of misinformation, even of violence - that appear, spread and fade away with bewildering speed.
To understand them, we need to learn the hidden laws that govern them. From 'superspreaders' who might spark a pandemic or bring down a financial system to the social dynamics that make loneliness catch on, The Rules of Contagion offers compelling insights into human behaviour and explains how we can get better at predicting what happens next. Along the way, Adam Kucharski explores how innovations spread through friendship networks, what links computer viruses with folk stories - and why the most useful predictions aren't necessarily the ones that come true.
An idea takes off like wildfire, changing our world forever. We live in a world that's more interconnected than ever before. Our lives are shaped by outbreaks - of disease, of misinformation, even of violence - that appear, spread and fade away with bewildering speed.
To understand them, we need to learn the hidden laws that govern them. From 'superspreaders' who might spark a pandemic or bring down a financial system to the social dynamics that make loneliness catch on, The Rules of Contagion offers compelling insights into human behaviour and explains how we can get better at predicting what happens next. Along the way, Adam Kucharski explores how innovations spread through friendship networks, what links computer viruses with folk stories - and why the most useful predictions aren't necessarily the ones that come true.
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