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Our ability to generate information now far exceeds our capacity to understand it. Finding patterns and making meaningful connections inside complex data networks has emerged as one of the biggest challenges of the twenty-first century. In recent years, designers, researchers, and scientists have begun employing an innovative mix of colors, symbols, graphics, algorithms, and interactivity to clarify, and often beautify, the clutter. From representing networks of friends on Facebook to depicting interactions among proteins in a human cell, Visual Complexity presents one hundred of the most interesting ex

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Book ID Asin: 1568989369
Book Title: Visual Complexity: Mapping Patterns of Information
Book Author: Manuel Lima
Book Format and Price:
Book Format Name: Hardcover
Book Format Price: $48.98
Book Format Name: Paperback
Book Format Price: from$152.99
Book Price: unknown
Book Category: Books, Arts & Photography, Graphic Design and unknown
Book Rating: 29 ratings

Visual Complexity: Mapping Patterns of Information by Manuel Lima Book Review

Name: A Reader
Rating: 3.0 out of 5 stars
Title: More of an art book than a learning experience
Date: Reviewed in the United States on April 21, 2021
Review: I am a big fan of Tufte's first three books on graphic communication. That's because he is not afraid to be prescriptive ("Avoid chart junk!"), provides concrete techniques for presenting data, and gives excellent examples of effective data graphics. I had not read any of Lima's books before getting this one, and had some hopes that this would be more of the same. (Review of the hardcopy edition.)

Well, not at all. With the exception of a philosophical introduction, the author says nothing at all about principles or techniques. For the pre-21st century classic illustrations, there is some text explaining their context, but the modern graphics are presented like photos in a coffee table book, usually with a minimal caption. No legends or explanations have been added to the reproduced graphics, and due to the limitations of physical page size embedded labels are frequently too small to read.

This makes the graphics rather mysterious, as many of them are certainly not obvious in either what meaning they are intended to convey, or what technique is being used to (attempt to) convey that meaning. There are bibliographic references to the original sources, so in principle one could track down those papers or websites to learn what was intended, and how it was accomplished. But there is not even a survey level summary of where to start that paper trail.

So, the book is filled with many striking images, but a very large proportion of them could be digital abstract art of the Jackson Pollack variety. The author does not offer critiques or comparisons, nor suggest principles or techniques for the effective presentation of data.

As a result, I am somewhat torn in assigning an overall rating to this book. I was not expecting this book to contain the technical details of 100's of academic papers on how to consolidate, organize, and graphically lay out complex networks of data. But I certainly was expecting at least a minimal presentation on contemporary principles of complex data presentation, why and where the classic techniques fall short, and perhaps an introduction to a small toolkit of modern techniques with recommendations for when they would be most applicable. This was entirely lacking.

On the other hand, there are many lovely images, and they are at least suggestive to the interested reader.

Name: Justin M
Rating: 5.0 out of 5 stars
Title: Visually gorgeous, intellectually stunning
Date: Reviewed in the United States on September 15, 2011
Review: People 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.

Name: Maria Isabel Meirelles
Rating: 5.0 out of 5 stars
Title: Indispensable!
Date: Reviewed in the United States on September 17, 2011
Review: As a practitioner and educator in information design I am writing to recommend strongly Visual Complexity by Manuel Lima. The field had been lacking analytical resources until this book beautifully filled the gap. It is well researched and well written with copious well chosen examples. It provides an in-depth and broad view of the history, theories and methods of visualizing data, mostly focusing on network visualizations. Furthermore, it proposes a methodology for visualizing data which can be very helpful especially for beginners.

I have been following Lima's visualcomplexity.com site for several years and have been suggesting it to my students as a resource. My excitement upon learning about the book immediately led me to reserve a copy of it. The book amazed me with its rigor and the quality of its research. I have to say that I learned a good amount from it which, of course, made me very happy!

I would like to end by recommending that Visual Complexity be an essential reference to all of us who work in visualizing data, from all fields of knowledge, not only designers. Above all, it is a must-have for communication design college students (and instructors). It will be a required book in all of my information design courses. I am certain Visual Complexity will impart both inspiration and information to all who read it.

Name: Mister Roboto
Rating: 4.0 out of 5 stars
Title: This book versus Data Flow
Date: Reviewed in the United States on December 26, 2012
Review: This book was a more thinner but more collegiate versus of the Data Flow book. I prefer the Data Flow book. That one had more examples. This one was a bit more nerdy, more Tufte without being inspirational. For infographics I recommend Tufte books and Data Flow over this one. But this book has a great overview.

But a big Lima fan, I look forward to all his works.