Showing posts with label complexity. Show all posts
Showing posts with label complexity. Show all posts

Weak Links: The Universal Key to the Stability of Networks and Complex Systems (The Frontiers Collection) Review

Weak Links: The Universal Key to the Stability of Networks and Complex Systems (The Frontiers Collection)
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Weak Links: The Universal Key to the Stability of Networks and Complex Systems (The Frontiers Collection) ReviewIf you ever needed another good reason to value your grandmother even more, you'll find the answer in "Weak links".
Structurally, his book starts with an exposition on network theory and
terminology, then the application and discussion of these concepts to
real-life complex systems on many scales and applied to many domains (physical, natural, technological, social). His main point is, as the reviewer noted above, that 'weak' links (weak: additional/removal does not statistically affect the average of some metric) stabilize systems.
The book has thorough footnotes, one can delve as deep as one would like
into the professional papers. In addition, Csermely is an honest scholar - he shows his hands when there is mere speculation (you have to see the book's unique pictograms to appreciate the effects)
After pouring through several alternatives, I have adopted this book as a
textbook for my Science of Networks class (I'm CS fac at an elite US liberal arts school), and I recommend it to anyone without hesitation for a readable, and learned exposition.
I only have two or three caveats from a specialist's point of view: The
phenomenological discovery of power laws in complex systems is not unusual
and may not be evidence of any SF properties. Scale-free is an abused
term, and I wish the controversy about it were explained a bit more. Also, from a modelling point of view, I wish Doyle and Carlson's work on HOT systems were discussed in more depth.
But these are minor points, relatively speaking. This is a gem of a book:
erudite, humane, funny, accessible and thoroughly fascinating. On every
page, there are delights that lead down new intellectual paths.
Csermely did a great service to pedagogy and to this budding science with
this magisterial survey. Outstanding in its ease of access for intelligent
undergraduates and commendable for intellectual honesty - I wish more
books (textbooks and otherwise) were written this way.Weak Links: The Universal Key to the Stability of Networks and Complex Systems (The Frontiers Collection) Overview

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Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity) Review

Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
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Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity) ReviewJosh Epstein's new Opus is a landmark publication in the emerging field of multiagent-based simulation of dynamic social systems. Since Josh is not only one of this still nascent (though burgeoning) field's ablest and most creative practitioners, but also among its most thoughtful critics, the reader of has two treats in store: (1) a generous, and wide-ranging, sampling of case studies (including social networks and evolution, population growth, emergence of economic classes, civil unrest, timing of retirement, the dynamics of adaptive organizations and the spread of infectious disease), and (2) a cogent "meta" discussion of what multiagent models ARE, ARE NOT and how (when their properties and limitations are *not* properly taken account of) they can easily be MISAPPLIED.
Far from suggesting that multiagent-based models are a panacea solution to all (or most) social dynamical systems, Josh's book carefully articulates the conditions for which such an approach IS (and is NOT) appropriate; an approach rarely taken by other, similar, overviews of the field. Indeed, the cogent philosophical discussion in Chapter One - alone! - in which the generativist's position is defined and put into a broader modeling/simulation context, is worth the price of admission; I have not seen a better "manifesto" of multiagent-based modeling elsewhere.
Finally, without taking away any of the inherent "beauty" (in the technical sense) of the often exaggerated concept of "emergence," Josh succeeds admirably in both defining the term, and de-mystifying it, stripping it of some of its unnecessary "quasi-mystical" baggage (at least as it is often portrayed in lay publications).
Anyone who is interested in understanding how agent models may be used to help explore the dynamics of social dynamical systems, should have this book firmly on top of their "must read" list! Josh has generously provided future generations of agent explorers their go-to source of both inspiration and ideas. Well done Josh!Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity) Overview

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Social Networks and Health: Models, Methods, and Applications Review

Social Networks and Health: Models, Methods, and Applications
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Social Networks and Health: Models, Methods, and Applications Reviewi have read a lot of network books. there are always some books which are too math centric and some too superficial. This book presents math concepts in a very clear manner and does not lose out on any rigor. highly recommend it!Social Networks and Health: Models, Methods, and Applications Overview

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The Fractal Geometry of Nature Review

The Fractal Geometry of Nature
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The Fractal Geometry of Nature ReviewMandelbrot is the person who introduced the fractal theory to the world in its present form. Many fields of science including geophysics have gained from fractals. However, this is not the book one should read to gain knowledge on the subject.
It is not an easily readable book. 1. It is not well-organized 2. It does not cover necessary things in detail 3. Frustratingly long in some parts. Instead the books: Feder, Fractals; Turcotte, Fractals and Chaos in Geology and Geophysics can be recommended.
Fractal geometry may be interesting as a historical book, after one gains a sufficient knowledge on fractals.The Fractal Geometry of Nature Overview

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