Showing posts with label network theory. Show all posts
Showing posts with label network theory. Show all posts

Visual Complexity: Mapping Patterns of Information Review

Visual Complexity: Mapping Patterns of Information
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Visual Complexity: Mapping Patterns of Information ReviewPeople interested in and fascinated by gorgeous data and network visualization will love this book.
Lima has done a masterful job of researching and showcasing some of the most beautiful visualizations in the world. However he has actually gone much, much further.
The book contains deep original research on the origins of visual representation, the emergence of networks and network thinking, as well as exploring a new syntax for mapping complex systems. All of this makes for something far more sophisticated than a compendium of pretty infographics -- even though aesthetes will be very much satisfied! -- instead it is an ambitious and intellectually significant dive into the very heart of networks, the desire to understand data, and the practice of discerning insights from their visualization.
A particular highlight are the jaw-dropping comparisons between Jackson Pollock's art and network visualizations in the chapter on 'Complex Beauty'. Lima compares one Jackson Pollock painting with a computer-generated model produced by an IBM supercomputer mapping millions of neuron connections in the brain. The two images, side-by-side, are eerily similar. It gives you the tingling sensation that Pollock's work was less raw artistic explosions and more a representation of what he was 'seeing' deep inside into his brain.
All up, an immensely valuable contribution to an exciting and emerging phenomenon. Brilliant for people interested in beautiful visualizations and perfect for those wanting to delve a little deeper into what's really going on.
'Visual Complexity' is taking pride of place on top of my coffee table.Visual Complexity: Mapping Patterns of Information Overview

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Network Culture: Politics for the Information Age Review

Network Culture: Politics for the Information Age
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Network Culture: Politics for the Information Age ReviewIn this beautifully written overview of the socio-political dynamics of networks, Terranova describes the shift from representation to modulation (in both images and ideas, a technic that foregrounds the communicator's agenda by replacing positions with explicit expressions of vectors for change), and the accompanying shift away from identity politics - replacing the difference/position couple with mutation/movement in open systems. She explores the "hydrodynamic" potential of the internet to channel images and meanings through a segmented and capillary system of communication, in which the spectators no longer form an amorphous mass, but operate instead in a fractal ecology of social niches and microniches. She addresses the active and persistent engagement of the networked audience-participants in a chapter about the abundance of free (uncompelled, and unwaged) labor on which most successful internet projects depend, and contrasts web-community volunteerism with the level of audience engagement demanded by ordinary (and now, "reality") television shows. Finally, she looks at the potential of cellular automata models of "soft control" and their application to the upstream battle against entropy and heat-death on the internet.Network Culture: Politics for the Information Age Overview

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Connected, or What It Means to Live in the Network Society Review

Connected, or What It Means to Live in the Network Society
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Connected, or What It Means to Live in the Network Society ReviewThis book covers a lot of ground in internet theory and the social aspects of it.
Personally I enjoy the flights into sci-fi, but I understand how they could miss the mark for some readers.
The best element of this book is the shear number of references it makes to writers in the field. The bibliography here is a great resource and he explains most content and concepts well enough for you to understand if you want to take it further.Connected, or What It Means to Live in the Network Society Overview

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Scale-Free Networks: Complex Webs in Nature and Technology (Oxford Finance) Review

Scale-Free Networks: Complex Webs in Nature and Technology (Oxford Finance)
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Scale-Free Networks: Complex Webs in Nature and Technology (Oxford Finance) ReviewThis book is a welcome fix to a gap in the complex network literature. It is sufficently detailed to enable the
reader to enter into research in the field, but does not assume any technical background knowledge. It is divided into two parts: the first gives an overview of the theory of complex networks; the second, a collection of applications from different areas of academia.
The author is a leading researcher in the field, and because of this many of the applications are the subject of current research. The book does not attempt to be exhaustive, which is one of its strengths: it is a highly readable and fascinating survey of the more exciting aspects of complex networks. The book will likely be taken up as one of the standard undergraduate textbooks in the field.
Finally, I note that Caldarelli makes use of an amusing literary device: the first sentence of each chapter is an adaptation of a first sentence from a famous book. While this will provide mirth for most readers, it seems to have confounded one reviewer.
For example:
Foundation by Isaac Asimov: His name was Gaal Dornick and he was just a country boy who had never seen Trantor before.
Caldarelli: His name was Leonard Euler and he was just a country boy who had never seen Königsberg before.
Adventures of Huckleberry Finn by Mark Twain: You don't know about me without you have read a book by the name of The Adventures of Tom Sawyer; but that ain't no matter.
Caldarelli: You don't know about graphs without you have read the previous chapter; but that ain't no matter.
Scale-Free Networks: Complex Webs in Nature and Technology (Oxford Finance) Overview

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Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) Review

Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics)
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Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) ReviewI was looking for a more formal and thorough review of statistical network analysis, and this was the best book I found on the subject. Most other books are really introductions to the study of complex networks, this is the first one I found which goes deeper into the advanced statistical analysis of network data. I recommend it.Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) Overview

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Evolution of Networks: From Biological Nets to the Internet and WWW (Physics) Review

Evolution of Networks: From Biological Nets to the Internet and WWW (Physics)
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Evolution of Networks: From Biological Nets to the Internet and WWW (Physics) ReviewAs a newcomer in the field of network theory I read first this book. It is quite easy to understand: clear and logical. However the calculations somewhere are too compact.Evolution of Networks: From Biological Nets to the Internet and WWW (Physics) Overview

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The Structure and Dynamics of Networks: (Princeton Studies in Complexity) Review

The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
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The Structure and Dynamics of Networks: (Princeton Studies in Complexity) ReviewCriticism of this book thus far stems from the following:
1) It is a collection of papers.
2) Some of those papers are fairly technical and may be a little daunting for beginners.
While both of these criticisms are accurate, they don't stop the book from being an excellent resource.
While it is a collection of papers, it is a very well-chosen one which includes some of the most important and influential papers in the field, and covers a wide array of subjects within it. Furthermore, each section has an intro written by the authors, which summarizes the works in the section in a fairly nontechnical manner.
This book saved me from days of basic research and frustration in trying to locate full-text articles, and when I was done with it I felt that I had a fairly good working knowledge of the field. I imagine it will be fairly handy for future reference as well.
As for (2), this book was my introduction to network analysis, and while I admit I was unable to read every paper, I was able to understand the main point of almost all of them. Caveat: I am a mathematician. However, as I said, I was previously unfamiliar to the field--and my background gave me little advantage considering I didn't care to go through the equations in detail.
I would recommend this book to anyone with a mildly technical background (say, a few years of university-level science, engineering, or math under their belt) interested in learning about network theory.The Structure and Dynamics of Networks: (Princeton Studies in Complexity) Overview

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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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Linked: The New Science of Networks Review

Linked: The New Science of Networks
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Linked: The New Science of Networks ReviewUpdated 28 Dec 07 to add links.
I have mixed feelings about this book. On the one hand, it is coherent, thoughtful, and tells a story about the emerging science of networks that anyone, who can read, can understand. This is a non-trivial accomplishment, so 4 stars.
However, the book is also--being brilliantly designed to be understood by the lowest common denominator, an undergraduate--somewhat shallow and empty.... especially when compared with Stephen Wolfram's "A New Kind of Science", 1197 pages not counting the index, which is at the other extreme.
Although there are good notes, there is no bibliography, and the author fails to use network methodology to illustrate and document the emerging literature on networks--called citation analysis, this would have been a superb appendix to the book that would have taken it up a notch in utility.
Among the key points that the author discusses and which certainly make the book worth buying and reading, my above reservations not-with-standing:
1) Reductionism has driven 20th century science (and one might add, all other knowledge), with the result being that we have experts who know more and more about less and less--and )as CIA and FBI recently found)while leaving us devoid of generalists and multi-disciplinary artists and scientists who can "connect the dots" across these fragmented foci.
2) Contrary to the prevailing wisdom about networks being equally distributed and thus largely invulnerable to catastrophic meltdown, the author does a fine job of documenting the importance of selected "hubs", so important that their removal ultimately breaks the network down into isolated pieces. The functionality of the network, its strength, is also its weakness--vulnerability to deliberate attack against the hubs (the author does not mention the Internet domain directories except in passing while discussing a table error, but MAYEAST and MAYWEST would be two obvious directory hubs that could be better protected through replication).
3) The author inadvertently makes a vital contribution to our understanding of how to defend America against terrorism--discussing why no single authority can close down the Internet by fiat, he notes "The underlying network has become so distributed, decentralized and locally guarded that even such an ordinary task as getting a central map of it has become virtually impossible." LOCALLY GUARDED--this is the key phrase. Federalizing counter-terrorism, and using federal agents and computers at the state and local levels, will not be effective against terrorists in civilian guise within the homeland--only a complete extension of counterintelligence and counterterrorism methods to the state & local level--teaching them to fish for terrorists, rather than trying to catch the terrorists with federal trawlers, is the way to go.
4) The author flirts with what is known as nomadic computing, making the point that nodes built around individual people are becoming as important--some would say more important--in a networked economy than nodes built around static organizations. There is a useful general discussion of how "fitness" in a networked economy is a combination of speed and scalability as well as diversity of linkages. As a general rule, as the FBI found (and also CIA, INS, and the State Department), systems with a single hub resistant to initiative from the field offices will tend to be slow and ineffective.
Missing from this populist overview is a discussion of the vital importance of geospatial information. While the author helpfully notes the Earth is increasingly covered by an electronic "skin" with millions of measuring devices, with experts predicting that by 2010 there will "around 10,000 telemetric devices for each human on the planet" (one suspects this refers only to privileged humans, not the billions of dispossessed that lack telephones, never mind computers), he does not take the next essential step, which is to note that in the absence of an XML-GEO standard and a global push to associate geospatial as well as temporal tags with all data, much of what we collect will, like the trillions of bits we have collected with secret satellites, never get processed in a meaningful manner.
This is a helpful book that will be of value to the general reader at the elementary (adult) level.
See also:
The Tao of Democracy: Using Co-Intelligence to Create a World That Works for All
Group Genius: The Creative Power of Collaboration
Collective Intelligence: Mankind's Emerging World in Cyberspace
Global Brain: The Evolution of Mass Mind from the Big Bang to the 21st Century
One from Many: VISA and the Rise of Chaordic Organization
The Wealth of Networks: How Social Production Transforms Markets and Freedom
World Brain (Essay Index Reprint Series)
The Wisdom of Crowds
An Army of Davids: How Markets and Technology Empower Ordinary People to Beat Big Media, Big Government, and Other GoliathsLinked: The New Science of Networks Overview

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Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences) Review

Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences)
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Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences) ReviewThis book comes so highly recommended because it lowers all the barriers for the student. The text is easily absorbed, the software is free, and the datasets are there. Many guides on Social Network Analysis (SNA) seem like they are written for someone who already knows how to do SNA. The original Pajek manual is one example (Pajek is pronounced pai-yak). This book is like the missing manual. It guides the novice carefully through the analysis process. The free software, Pajek, is one of the best Social Network programs currently. Although Pajek was initially just for visualizations of large networks, and it still only has a subset of the UCInet functions, the algorithms are fast and plentiful. The book and software should keep a student busy until they add more programmatic SNA tools to their toolkit (e.g. R-project sna).Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences) Overview

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Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) Review

Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences)
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Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) ReviewI am a research consultant specializing in SNA. This book is the best in the field, as a reference for those formally trained in the discipline or a self-instruction manual for those who really want to use SNA methodology. It's well written; but the mathematical and combinatric underpinnings of SNA won't make for light reading. This books stands out among others in that each subject area is thoroughly documented and cited for further reading and examples of application, and that the base algorithms are provided for most SNA techniques - useful if you want to learn how to "do" instead of just run a software package, or want to program your own. No SNA analyst should neglect this reference.Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) 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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Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives Review

Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives
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Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives ReviewI loved this book. Sensitive, aware people perceive on a daily basis that actions, behaviors and emotions impact the lives of those around us, but the science that proves conclusively that your behaviors are impacting mine, my spouse's and friend's in Idaho offers such hope for improvement in the cosmic social network of which we all have our "connectedness". I loved the anecdotal stories - Nicholas and Erika meeting, the Starbucks employee, crazy unstoppable laughter - to which each reader will add additional network stories. We are connected, like it or not, so perhaps we can all start behaving in ways that benefit the entire network. Everyone who reads this will think twice about the impact of cutting someone off in traffic. Dr Christakis and Dr. Fowler have written for the scientific world, NY Times and lay reader - all who are part of the network.Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives 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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