Books Visual Complexity, by Manuel Lima

Published on November 28th, 2013 | by Travis Korte


“Visual Complexity: Mapping Patterns of Information”

Manuel Lima’s Visual Complexity: Mapping Patterns of Information, a popular 2011 book on the history and practice of network visualization, was released in paperback in September 2013. The material, which spans a broad range of time periods and fields, includes a medieval Christian genealogical diagram and a modern visualization of the mouse genome.

Numerous physical and social phenomena can be modeled as complex networks, from pandemics to Facebook friendships to food flavor relationships, and visualization techniques to keep track of these networks has advanced considerably in the last decade. Lima, a New York-based designer and teacher, began working on the book during graduate research into complex networks.

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About the Author

Travis Korte is a research analyst at the Center for Data Innovation specializing in data science applications and open data. He has a background in journalism, computer science and statistics. Prior to joining the Center for Data Innovation, he launched the Science vertical of The Huffington Post and served as its Associate Editor, covering a wide range of science and technology topics. He has worked on data science projects with HuffPost and other organizations. Before this, he graduated with highest honors from the University of California, Berkeley, having studied critical theory and completed coursework in computer science and economics. His research interests are in computational social science and using data to engage with complex social systems. You can follow him on Twitter @traviskorte.

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