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    <![CDATA[Six Degrees: The Science of a Connected Age]]>
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    <![CDATA[<strong>The pioneering young scientist whose work on the structure of small worlds has triggered an avalanche of interest in networks.</strong>  In this remarkable book, Duncan Watts, one of the principal architects of network theory, sets out to explain the innovative research that he and other scientists are spearheading to create a blueprint of our connected planet. Whether they bind computers, economies, or terrorist organizations, networks are everywhere in the real world, yet only recently have scientists attempted to explain their mysterious workings.<br/>  <br/>  From epidemics of disease to outbreaks of market madness, from people searching for information to firms surviving crisis and change, from the structure of personal relationships to the technological and social choices of entire societies, Watts weaves together a network of discoveries across an array of disciplines to tell the story of an explosive new field of knowledge, the people who are building it, and his own peculiar path in forging this new science. .]]>
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    <![CDATA[Six Degrees: The Science of a Connected Age]]>
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    <![CDATA[You may be only six degrees away from Kevin Bacon, but would he let you  borrow his car? It depends on the structures within the network that  links you. When the power goes out, when we find that a stranger knows  someone we know, when dot-com stocks soar in price, networks are  evident. In <em>Six Degrees</em>, sociologist Duncan Watts examines  networks like these: what they are, how they're being studied, and what  we can use them for. To illustrate the often complicated mathematics  that describe such structures, Watts uses plenty of examples from  life, without which this book would quickly move beyond a general  science readership. Small chapters make each thought-provoking  conclusion easy to swallow, though some are hard to digest. For  instance, in a short bit on &quot;coercive externalities,&quot; Watts sums up  sociological research showing that: <p>  <blockquote>&quot;Conversations concerning politics displayed a consistent  pattern .... On election day, the strongest predictor of electoral  success was not which party an individual privately supported but which  party he or she expected would win.&quot;</blockquote> </p> <em>Six Degrees</em> attempts to help readers understand the new and  exciting field of networks and complexity. While considerably more  demanding than a general book like <em>The Tipping Point</em>,  it offers readers a snapshot of a riveting moment in science, when  understanding things like disease epidemics and the stock market seems  almost within our reach. <em>--Therese Littleton</em>]]>
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    <![CDATA[Six Degrees]]>
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    <![CDATA[You may be only six degrees away from Kevin Bacon, but would he let you  borrow his car? It depends on the structures within the network that  links you. When the power goes out, when we find that a stranger knows  someone we know, when dot-com stocks soar in price, networks are  evident. In <em>Six Degrees</em>, sociologist Duncan Watts examines  networks like these: what they are, how they're being studied, and what  we can use them for. To illustrate the often complicated mathematics  that describe such structures, Watts uses plenty of examples from  life, without which this book would quickly move beyond a general  science readership. Small chapters make each thought-provoking  conclusion easy to swallow, though some are hard to digest. For  instance, in a short bit on &quot;coercive externalities,&quot; Watts sums up  sociological research showing that: <p>  <blockquote>&quot;Conversations concerning politics displayed a consistent  pattern .... On election day, the strongest predictor of electoral  success was not which party an individual privately supported but which  party he or she expected would win.&quot;</blockquote> </p> <em>Six Degrees</em> attempts to help readers understand the new and  exciting field of networks and complexity. While considerably more  demanding than a general book like <em>The Tipping Point</em>,  it offers readers a snapshot of a riveting moment in science, when  understanding things like disease epidemics and the stock market seems  almost within our reach. <em>--Therese Littleton</em>]]>
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  </authors>  <published>2004</published>
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        <book>
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    <![CDATA[Small Worlds: The Dynamics of Networks between Order and Randomness]]>
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    <![CDATA[Everyone knows the small-world phenomenon: soon after meeting a stranger, we are surprised to discover that we have a mutual friend, or we are connected through a short chain of acquaintances. In his book, Duncan Watts uses this intriguing phenomenon--colloquially called &quot;six degrees of separation&quot;--as a prelude to a more general exploration: under what conditions can a small world arise in any kind of network?  <p>The networks of this story are everywhere: the brain is a network of neurons; organisations are people networks; the global economy is a network of national economies, which are networks of markets, which are in turn networks of interacting producers and consumers. Food webs, ecosystems, and the Internet can all be represented as networks, as can strategies for solving a problem, topics in a conversation, and even words in a language. Many of these networks, the author claims, will turn out to be small worlds.  <p>How do such networks matter? Simply put, local actions can have global consequences, and the relationship between local and global dynamics depends critically on the network's structure. Watts illustrates the subtleties of this relationship using a variety of simple models---the spread of infectious disease through a structured population; the evolution of cooperation in game theory; the computational capacity of cellular automata; and the sychronisation of coupled phase-oscillators.  <p>Watts's novel approach is relevant to many problems that deal with network connectivity and complex systems' behaviour in general: How do diseases (or rumours) spread through social networks? How does cooperation evolve in large groups? How do cascading failures propagate through large power grids, or financial systems? What is the most efficient architecture for an organisation, or for a communications network? This fascinating exploration will be fruitful in a remarkable variety of fields, including physics and mathematics, as well as sociology, economics, and biology.</p></p></p>]]>
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  </authors>  <published>2003</published>
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        <book>
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  <title>
    <![CDATA[The Structure and Dynamics of Networks:]]>
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    <![CDATA[<p>From the Internet to networks of friendship, disease transmission, and even terrorism, the concept--and the reality--of networks has come to pervade modern society. But what exactly is a network? What different types of networks are there? Why are they interesting, and what can they tell us? In recent years, scientists from a range of fields--including mathematics, physics, computer science, sociology, and biology--have been pursuing these questions and building a new &quot;science of networks.&quot; This book brings together for the first time a set of seminal articles representing research from across these disciplines. It is an ideal sourcebook for the key research in this fast-growing field.</p><p>The book is organized into four sections, each preceded by an editors' introduction summarizing its contents and general theme. The first section sets the stage by discussing some of the historical antecedents of contemporary research in the area. From there the book moves to the empirical side of the science of networks before turning to the foundational modeling ideas that have been the focus of much subsequent activity. The book closes by taking the reader to the cutting edge of network science--the relationship between network structure and system dynamics. From network robustness to the spread of disease, this section offers a potpourri of topics on this rapidly expanding frontier of the new science.</p>]]>
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        <name><![CDATA[Mark Newman]]></name>
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        <name><![CDATA[Albert-Laszlo Barabasi]]></name>
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    <average_rating>3.78</average_rating>
    <ratings_count>395</ratings_count>
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  </authors>  <published>2006</published>
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        <book>
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    <![CDATA[Six Degrees: The Science of a Connected Age]]>
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    <![CDATA[You may be only six degrees away from Kevin Bacon, but would he lend you his car? It depends on the network that links you. In <em>Six Degrees</em>, sociologist Duncan Watts examines networks like these: what they are, how they're being studied, and what we can use them for. When the power goes out, when we find that a stranger knows someone we know, when dot-com stocks soar in price, networks are evident. To illustrate the often complicated mathematics that describe such structures, Watts uses plenty of examples from real life, without which this book would quickly move beyond a general science readership. Small chapters make each thought-provoking conclusion easy to swallow, though some are hard to digest. For instance, in a short bit on &quot;coercive externalities&quot;, Watts sums up sociological research showing that: <blockquote>Conversations concerning politics displayed a consistent pattern ... On election day, the strongest predictor of electoral success was not which party an individual privately supported but which party he or she expected would win.&quot;</blockquote><em>Six Degrees</em> attempts to help readers understand the new and exciting field of networks and complexity. While considerably more demanding than a general book such as <em>The Tipping Point</em>, it offers readers a snapshot of a riveting moment in science, when understanding things such as disease epidemics and the stock market seems almost within our reach. <em>--Therese Littleton, Amazon.com</em>]]>
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  </authors>  <published>2003</published>
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        <book>
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    <![CDATA[Six Degrees Proof]]>
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        <book>
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    <![CDATA[Seis Grados De Separacion / Six Degrees: La ciencia de las redes en la era del acceso/The Science of a Connected Age]]>
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        <book>
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    <![CDATA[Small Worlds]]>
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    <![CDATA[Everyone knows the small-world phenomenon: soon after meeting a stranger, we are surprised to discover that we have a mutual friend, or we are connected through a short chain of acquaintances. In his book, Duncan Watts uses this intriguing phenomenon--colloquially called &quot;six degrees of separation&quot;--as a prelude to a more general exploration: under what conditions can a small world arise in any kind of network?<p>The networks of this story are everywhere: the brain is a network of neurons; organisations are people networks; the global economy is a network of national economies, which are networks of markets, which are in turn networks of interacting producers and consumers. Food webs, ecosystems, and the Internet can all be represented as networks, as can strategies for solving a problem, topics in a conversation, and even words in a language. Many of these networks, the author claims, will turn out to be small worlds.<p>How do such networks matter? Simply put, local actions can have global consequences, and the relationship between local and global dynamics depends critically on the network's structure. Watts illustrates the subtleties of this relationship using a variety of simple models---the spread of infectious disease through a structured population; the evolution of cooperation in game theory; the computational capacity of cellular automata; and the sychronisation of coupled phase-oscillators.<p>Watts's novel approach is relevant to many problems that deal with network connectivity and complex systems' behaviour in general: How do diseases (or rumours) spread through social networks? How does cooperation evolve in large groups? How do cascading failures propagate through large power grids, or financial systems? What is the most efficient architecture for an organisation, or for a communications network? This fascinating exploration will be fruitful in a remarkable variety of fields, including physics and mathematics, as well as sociology, economics, and biology.</p></p></p>]]>
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  </authors>  <published>1999</published>
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