Linked: The New Science Of Networks Science Of Networks
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Amazon.com
How is the human brain like the AIDS epidemic? Ask physicist Albert-László Barabási and he'll explain them both in terms of networks of individual nodes connected via complex but understandable relationships. Linked: The New Science of Networks is his bright, accessible guide to the fundamentals underlying neurology, epidemiology, Internet traffic, and many other fields united by complexity.
Barabási's gift for concrete, nonmathematical explanations and penchant for eccentric humor would make the book thoroughly enjoyable even if the content weren't engaging. But the results of Barabási's research into the behavior of networks are deeply compelling. Not all networks are created equal, he says, and he shows how even fairly robust systems like the Internet could be crippled by taking out a few super-connected nodes, or hubs. His mathematical descriptions of this behavior are helping doctors, programmers, and security professionals design systems better suited to their needs. Linked presents the next step in complexity theory--from understanding chaos to practical applications. --Rob Lightner
From Publishers Weekly
Information, disease, knowledge and just about everything else is disseminated through a complex series of networks made up of interconnected hubs, argues University of Notre Dame physics professor Barabasi. These networks are replicated in every facet of human life: "There is a path between any two neurons in our brain, between any two companies in the world, between any two chemicals in our body. Nothing is excluded from this highly interconnected web of life." In accessible prose, Barabasi guides readers through the mathematical foundation of these networks. He shows how they operate on the Power Law, the notion that "a few large events carry most of the action." The Web, for example, is "dominated by a few very highly connected nodes, or hubs... such as Yahoo! or Amazon.com." Barabasi notes that "the fittest node will inevitably grow to become the biggest hub." The elegance and efficiency of these structures also makes them easy to infiltrate and sabotage; Barabasi looks at modern society's vulnerability to terrorism, and at the networks formed by terrorist groups themselves. The book also gives readers a historical overview on the study of networks, which goes back to 18th-century Swiss mathematician Leonhard Euler and includes the well-known "six degrees phenomenon" developed in 1967 by sociology professor Stanley Milgram. The book may remind readers of Steven Johnson's Emergence and with its emphasis on the mathematical underpinnings of social behavior Malcolm Gladwell's The Tipping Point (which Barabasi discusses); those who haven't yet had their fill of this new subgenre should be interested in Barabasi's lively and ambitious account.
Copyright 2002 Cahners Business Information, Inc.
Copyright 2002 Cahners Business Information, Inc.
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19 von 23 Kunden fanden die folgende Rezension hilfreich:
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Reduction to nodes and links,
Von
Rezension bezieht sich auf: Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life (Taschenbuch)
Albert Barabasi presents the lay reader with a stimulating description of the origins of network theory and recent applications. He describes random networks, small world and scalefree networks. In nonrandom networks the importance of hubs is emphasized. Small world networks are the ones with a well defined averge number of links, and in scalefree ones the density of links scales as a power law. For the many interesting examples discussed, I would like to have seen graphs showing scaling over at least three decades in order to be convinced of scaling. However, in practice, whether a network scales or not may not be so important. I liked best the discussions of terrorism, AIDS, and biology. If one could locate the hubs, then a small world network could be destroyed, but as the author points out there is no systematic method for locating the hubs. Also, destroyed hubs in a terror network might be replaced rather fast, whereas airline hubs could not be replaced so quickly. The book might be seen as indicating a starting point to try to develop a branch of mathematical sociology. For example, the maintainance of ethnic identity outside the Heimat is discussed in terms of networking. Now for a little criticism.I did not find the discussion of ‚the rich get richer' very helpful because network theory at this stage deals only with static geometry, not with empirically-based dynamics. In fact, the dynamics of financial markets have been described empirically accurately without using any notion of networking. In the text the phrase „economic stability" is used but stability is a dynamic idea, and there is no known empirical evidence from the analysis of real markets for any kind of stability. The absence of dynamics on networks means that complexity is not described at all: there is nothing complex about the geometry of a static network! Suggesting that cell biology can be described by networking is empty so long as dynamics are not deduced from empirics. Nonempirical models of dynamics will probably not be of much use for making advances in understanding or treating cancer, e.g. Everything we know about cell biology and cancer was discovered via reductionism, by isolating cause and effect the way that a good auto mechanic does in order to repair a car. Unfortunately, the author lets his enthusiasm get the best of him when he proclaims „laws of self-organization" and the need to go beyond reductionism. First, there are no known laws of „self-organization". The only known laws of nature are the laws of physics and consequences deduced from the laws, namely, chemistry and cell biology. Worse, every mathematical model that can be written down is a form of reductionism. Quantum theory reduces phenomena to (explains phenomena via) atoms and molecules. All of chemistry is about that. Cell biology attempts to reduce observed phenomena to DNA, proteins, and cells. Believers in self-organized criticality try to reduce the important features of nature to the equivalent of sandpiles. Network enthusiasts hope to reduce phenomena to nodes and links. In order to try to isolate cause and effect, there is no escape from reductionism of one form or another, holism being an empty illusion. So I did not at all like the assertion on pg. 200 that globalization (via deregulation and privatization) is inevitable, because there is no law that tells us that it is. Summarizng: there is no complexity without dynamics, there are no known „laws of self-organization", and reductionism is the only hope for doing science. Anyone who disagrees with this is welcome to explain to me and others the alternative (jmccauley@uh.edu). Helfen Sie anderen Kunden bei der Suche nach den hilfreichsten Rezensionen
2 von 2 Kunden fanden die folgende Rezension hilfreich:
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a very good book but not a 'game changer',
Von
Rezension bezieht sich auf: Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life (Taschenbuch)
The book is a very well written and easy to read. I can recommend the book for an introduction to the topic of network science, since it's easy to digest and not expensive. In order to be able to produce `something' using concepts and tools from network science, however, a second source is required.Furthermore, there are more books out there about the topic and there is a huge overlap between them (e.g. Six Degrees...). Helfen Sie anderen Kunden bei der Suche nach den hilfreichsten Rezensionen
2 von 3 Kunden fanden die folgende Rezension hilfreich:
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Linkedin,
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Rezension bezieht sich auf: Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life (Taschenbuch)
Um was geht es in Linked: Albert-László Barabás öffnet in diesem populär-wissenschaftlichen Buch auf 230 Netto-Seiten die Tür zur noch jungen Wissenschaft der Netwerke.Schritt für Schritt beginnt er mit der Einführung in relativ einfach Netzwerke, die nur wenige Teilnehmer oder Knoten umfassen, am Beispiel des Königsberger-Brückenproblems und dessen Betrachtung durch den Mathematiker Euler. In späteren Kapiteln nimmt die Zahl der Knoten und Entitäten in den betrachteten Netzwerken exponentiell zu. Unvermeidlich dabei die Betrachtung des Internets als gigantisches Netzwerk und Forschungsobjekt. Anhand zahlreicher Anekdoten wird der Leser schließlich in die detaillierteren Zusammenhänge eingeführt und darf sich mit den ersten Gesetzen, Regeln und Fachbegriffen herumschlagen: Erdös-Nummer, Pareto-Regel, Power laws und dem Begriff der "scale-free networks". Der Spannungsbogen flacht leider gegen Ende des Buches etwas ab, da die Informations- und Neuigkeitendichte abnimmt. Aber trotzdem kann ich das Buch weiterempfehlen, da es aufgrund des ausführlichen Index und der Anmerkungen selbst als Hub für weitere Ausflüge in die Welt der Netwerke dient. Helfen Sie anderen Kunden bei der Suche nach den hilfreichsten Rezensionen
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