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(16 reviews)
Author: Visit Amazon's Manuel Lima Page
ISBN : 1568989369
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Review
"A rigorously researched, beautifully designed, thoughtfully curated anthology of the world's most compelling work at the intersection of two relatively nascent yet increasingly powerful techno-cultural phenomena, network science and information visualization.... A powerful tool in your visual literacy arsenal for navigating the Information Age. From the Bible to Wikipedia edits to the human genome, the gorgeous and thought-provoking visualizations in the book will make you look at the world in a whole new way, and the insightful essays accompanying them will vastly expand your understanding of the trends and technologies shaping our ever-evolving relationship with information." -- Brain Pickings
"Visual Complexity is a showcase for the intersection of art, design and science... Some of the examples are indeed silly. Some are profound. Many are decidedly beautiful. And all are fascinating, given the infinite kinds of data that can be visualized." --New York Times Book Review
"Manuel Lima, the New York-based founder of visualcomplexity.com, works at the forefront of network science and information visualization. Appropriately, his book Visual Complexity cuts through digital clutter, using colorful examples to illustrate these fields." --Surface magazine
"Intellectually ambitious... the author engages this heady material with a surprisingly sharp and lucid eye." --Metropolis
"Incredibly ambitious, deeply researched, and beautifully illustrated." --frieze
"From genealogical patterns in medieval tapestries to the math behind fractals, Lima, a senior UX design lead for Bing, shows how designers turn complex patterns into compelling artwork." --Wired
"Artistic analysis... tremendous potential for shaping how we understand our world... if you are the type who obsesses on Google Analytics or just feel the need to nerd out for a bit, pick up a copy." --Cool Hunting
About the Author
Manuel Lima is the founder of VisualComplexity.com and a Senior UX Design Lead at Microsoft. He is a Fellow of the Royal Society of Arts and was nominated by Creativity magazine as "one of the 50 most creative and influential minds of 2009".
Manuel Lima is a leading voice on information visualization and a frequent speaker in conferences and schools around the world, including TED, Lift, OFFF, Reboot, VizThink, IxDA Interaction, Royal College of Art, NYU Tisch School of the Arts, ENSAD Paris, University of Amsterdam, MediaLab Prado Madrid.
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- Hardcover: 272 pages
- Publisher: Princeton Architectural Press (August 17, 2011)
- Language: English
- ISBN-10: 1568989369
- ISBN-13: 978-1568989365
- Product Dimensions: 1 x 5.9 x 10.8 inches
- Shipping Weight: 2.8 pounds (View shipping rates and policies)
Visual Complexity: Mapping Patterns of Information Free Download
As the world becomes more connected, whether through email, social web sites, chat, or instant messaging, there is now a need to understand this interconnectivity. These networks could be computer networks, the connectedness of genes and chromosomes, proteins, or even citations of papers. The need is not new because networks are not new. There have been networks connecting people through phone calls and postal letters, for example. What is new is the many different methods of connection and the size of networks. Given these large networks, how might you go about understanding their properties? Further, how might you go about gaining insight into the types of connections, the strong versus weak connections, the permutations of connections and other such features of networks?
If you were to try to simply list the connections, say in a table that showed a person and who he sent email to, that table would quickly grow. You would have gained little insight to the network except maybe to see just how vast it is. The natural method, then, is to find a graph, a picture, of the network. In Visual Complexity, Manuel Lima starts to show us different pictures we can use to see networks.
He begins with a short history of networks and graphs some dating back centuries. If you gain nothing else from that you will at least see that the need for insight is quite old. Lima does a satisfactory job of describing this history and his illustrations are excellent supports for the text. He then goes on to show more examples and as he does so, the textual explanations slowly fall away. In fact, by page 97 (out of a total of 272 pages) there is very little text but lots of pictures.
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