Information Visualization: Beyond the Horizon | 
| Author: Chaomei Chen
Publisher: Springer
Category: EBooks
List Price: $54.95
Buy New: $39.93
You Save: $15.02 (27%)
Rating:  3 reviews
Sales Rank: 21136
Format: Kindle Book
Media: Kindle Edition
Edition: 2nd
Number Of Items: 1
Pages: 316
Dewey Decimal Number: 006.6
ASIN: B000TU3TW2
Publication Date: October 21, 2004
Availability: Usually ships in 24 hours
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Product Description
Information visualization is not only about creating graphical displays of complex and latent information structures; it contributes to a broader range of cognitive, social, and collaborative activities. This is the first book to examine information visualization from this perspective. This 2nd edition continues the unique and ambitious quest for setting information visualization and virtual environments in a unifying framework. Information Visualization: Beyond the Horizon pays special attention to the advances made over the last 5 years and potentially fruitful directions to pursue. It is particularly updated to meet the need for practitioners. The book is a valuable source for researchers and graduate students. This new edition is forwarded by Ben Shneiderman, University of Maryland. Key features: - Latest advances in information visualization.
- Applications of information visualization, including knowledge domain visualization, knowledge diffusion, and social networks.
- Detecting topics, emergent trends, and abrupt changes.
- Empirical findings concerning information visualization.
- Virtual environments and collaborative virtual environments.
Chaomei Chen is an Associate Professor in the College of Information Science and Technology at Drexel University, Philadelphia, USA. He is the author of Mapping Scientific Frontiers: The Quest for Knowledge Visualization (Springer, 2003).
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| Customer Reviews:
Essential Reference, Slightly Disappointing for Me Personally August 21, 2008
1 out of 1 found this review helpful
20081214 DEPARTED AMAZON WITH OUTRAGE OVER THE MANIPULATION OF VOTES.
I had already decided to grade this a four instead of five, in part because it makes me cranky when world-class authors such as the author of this book neglect other world-class pioneers because of their unwillingness to do a proper search outside their own narrow boundaries. I refer of course to Dick Klavens, Brad Ashford, and Katy Borner, whose Maps of Science are online and spectacular. Even Eugene Garfield, the inventor of citation analysis, gets short shrift.
That aside, the book is an essential reference. While it makes the needed point, that first generation visualization was about showing structure and relationships, and second generation visualization needs to be more dynamic and depict evolutionary and revolutionary changes and mutations (and I would add, provide early warning of anomalies and emergent patterns).
The last chapter, 8, on Detecting Abrupt Changes and Emerging Trends, is very interesting, but heavy on mathematics, and lacking in great detail, which reminds me this is really an overview text, and should be valued in that light. Two examples of fraud detection that I have personally seen as representative of the power of visualization include Dr. Bert Little's discover of $79 million in crop insurance fraud among roughly seven insurance agents and 20+ specific farmers; and the brilliant work of Dr. Simon J. Pak and Dr. John S. Zdanowicz who found $5o billion a year in import-export tax fraud (and Colombian coffee cans marked one pound and weighing 1.5 pounds) through their exploitation of public Department of Commerce databases.
This book has been assigned to our senior working technical person along with three others listed below.
A New Ecology: Systems Perspective, Sven Jorgensen et al (Elsevier, 2007), not on Amazon that I could find
Handbook of Data Visualization (Springer Handbooks of Computational Statistics) (Springer Handbooks of Computational Statistics)
Information Visualization: Beyond the Horizon
Building Trustworthy Semantic Webs
For myself, I put the book down thinking to myself, citation analysis is all well and good, but how do we integrate co-visualization of content, geospatial, money (e.g. "true costs" of each aspect or attribute)?
I continue to admire the work of Peter Morville, such as Ambient Findability: What We Find Changes Who We Become. His name does not appear in the index either. See also: Keeping Abreast of Science and Technology: Technical Intelligence for Business
cool graphics ideas January 11, 2007
5 out of 5 found this review helpful
Chen gives a masterful excursion into how information can be visualised. A major aim is that it is presented in a way that a human can see a large mass of data in a meaningful manner. Hence many techniques are shown in numerous colour diagrams that are an indispensible part of the book. Indeed, the book would lack much meaning without those diagrams!
The display ideas have mostly been developed in the last 15 years. In part due to increasing computational power and graphics, that makes such displaying feasible. But another driving force has been the Web. And within this, the Virtual Reality Markup Language. Various proponents, like Blaxxsun, have built VRML worlds in which data can be shown. And in which users can browse. Often in a multiuser mode.
One lesson from the text is that simulated annealing is simply too computationally intensive for deciding how to make a graph with #nodes > 100 or so. It's certainly a nice idea. But sadly only for smaller graphs.
There is an interesting discussion on topic analysis and display. A harder problem than "merely" dealing at the document level. But the results shown seem rather limited. Much more work is needed here.
If you are from physics, you should note that an extensive, protracted example of superstring research was used by Chen. He showed his own research in how key papers could be found via co-citation analysis and graphing. This was to tackle the general problem of trying to find trends and paradigm shifts in scientific research.
Full of Ideas August 30, 2006
8 out of 11 found this review helpful
This is a beautiful book, with many color images. While it includes a large number of excellent figures, and covers a wide range techniques and systems, the text is not, however, a good starting point for a newcomer to the field. (See Card, et al, "Readings in Information Visualization" for a starting point.) This book should be used as a pointer to the literature, which provide the missing details. It covers a wide range techniques, and is worth having.
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