Interactive Visualization of Large Networks

Modern day computer systems allow us to capture
enormous datasets. In many cases this data represents a
network of connections between entities, such
friendship patterns in social networks, communication
networks or biological pathways.
Fully analyzing these massive network datasets is
challenging on a number of levels and many problems
remain unsolved. This book addresses the problem from
the perspective of information visualization, which
uses computers to generate interactive images of the
data under analysis. It gives an overview of the
state of the art, describes potential pitfalls and
details a
number possible solutions for different application
areas.

Autorentext
Dr. Frank van Ham studied computer science at the department of Mathematics and Computer Science at the Technische Universiteit Eindhoven. He received his PhD degree in Information Visualization in 2005. Frank has worked on a number of well-known information visualization tools and currently works in IBM Research.

Klappentext
Modern day computer systems allow us to capture enormous datasets. In many cases this data represents a network of connections between entities, such friendship patterns in social networks, communication networks or biological pathways. Fully analyzing these massive network datasets is challenging on a number of levels and many problems remain unsolved. This book addresses the problem from the perspective of information visualization, which uses computers to generate interactive images of the data under analysis. It gives an overview of the state of the art, describes potential pitfalls and details a number possible solutions for different application areas.