Showing posts with label network theory. Show all posts
Showing posts with label network theory. 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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Social Networks and Organizations Review

Social Networks and Organizations
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Social Networks and Organizations ReviewMany books have been written about social networks. But few review the research on social networks in organizations.This book by Kilduff and Tsai is one that reviews a vasy body of literature about social networks in organization. Further, readers are gently exposed to key network concepts. Students who would like to learn the mechanics of network analysis and its usage in theory testing can refer to the appendices. For established researchers seeking potential new research questions, this book provides a wealth of interesting research questions. Most books on social networks are techical, hard to grasp and do not establish the relevance of social networks to organizational research. This book is an exception.Social Networks and Organizations Overview

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Dynamical Processes on Complex Networks Review

Dynamical Processes on Complex Networks
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Dynamical Processes on Complex Networks ReviewA clearly written, authoritative account of the mechanisms acting on complex networks, this book is indispensable to social scientists, physicists, web researchers, and biologists alike. The text is well-organized and provides a structured, rigorous introduction to network science in the first three chapters and continues into the theory of dynamical processes, phase transitions, robustness, synchronization phenomena, random walks, epidemic spreading and diffusion processes, opinion formation in social networks, traffic modeling and systems biology. Chapters begin with a strong case for the importance of each particular topic, and move quickly into lucid mathematical accounts of the respective processes and their statistical properties. Chapters frequently conclude with a philosophical bookend that outlines theoretical implications and future directions for the field. Another strength of this work is that it is structured in such a way that chapters can be utilized individually, each one acting a complete, comprehensive unit of knowledge.
This book is a definitive guide to understanding a wide range of dynamical processes on networks, and it's rigor and scope afford the reader a high degree of confidence in the material. The only caveat I might offer is that the text is technically dense, thoroughly covering a broad swath of science in just over 300 pages. The reader is presented with everything required to understand the concepts covered in each chapter, but I often found myself re-reading passages in order to fully understand the arguments and implications of the text. This aside, rest assured that the studious reader will find this to be a rewarding, thoughtful account of an important field of science, and I would strongly recommend this book to anyone whose work involves network analysis.Dynamical Processes on Complex Networks Overview

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Social Network Analysis: A Handbook Review

Social Network Analysis: A Handbook
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Social Network Analysis: A Handbook ReviewAs a biostatistician interested in learning some social network analysis, I was immediately attracted to this book. It is short and non-technical and seemed to provide an overview of the key issues in this research area. Once I began to read it, I quickly saw that Scott has a gift for presenting complex idea in clear prose. (I don't know quite why it is, but British academics are typically very good at expository prose.) In any case, Social Network Analysis provided just what I wanted -- a quick (180 page) overview that will help me move on to other, more technical works in this area.
Bravo!Social Network Analysis: A Handbook Overview

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