Visual Complexity: Mapping Patterns of Information

Visual Complexity: Mapping Patterns of Information

Paperback

By (author) Manuel Lima

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  • Publisher: PRINCETON ARCHITECTURAL PRESS
  • Format: Paperback | 240 pages
  • Dimensions: 214mm x 264mm x 20mm | 1,080g
  • Publication date: 1 October 2013
  • Publication City/Country: New York
  • ISBN 10: 1616892196
  • ISBN 13: 9781616892197
  • Edition statement: Reprint
  • Illustrations note: 250 colour and 65 black and white images
  • Sales rank: 68,012

Product description

Networks are all around us. Our brain is a network of cells and cells themselves are networks of molecules. Societies are networks of people and on a larger scale, food webs and ecosystems are networks of species. Networks are not just prevalent in nature but also in many manmade structures, like power grids, transportation systems and the Internet. In October 2005, Manuel Lima, an interaction designer and researcher, founded VisualComplexity.com, a comprehensive repository of complex network visualisations. From an initial collection of roughly 80 projects, the website quickly grew to encompass over 700 projects, with a goal to facilitate a critical understanding of a spectrum of network visualisation methods. This book analyses, collects and presents some of the most interesting examples of information graphics in a single volume. Never before have we felt so strongly the notion of living in a highly interdependent world, where everything appears to be connected to everything else

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Author information

Nominated by Creativity magazine as "one of the 50 most creative and influential minds of 2009," Manuel Lima is an interaction designer, researcher and founder of VisualComplexity.com, a comprehensive repository of complex network visualisations. He is a graduate of the Technical University of Lisbon (BA) and Parsons School of Design (MFA). He also writes and frequently speaks on the topic of information visualisation.

Review quote

"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