Covers both static and evolving graph patterns for versatile analysis
Includes detailed generators to simulate and understand graph structures
Explains key tools such as spectral methods, singular value decomposition, and tensors
Case studies on social networks, web search, and fraud detection illustrate real-world applications
Surveys complementary viewpoints from sociology and related fields for a holistic understanding
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Report copyright infringement by Deepayan Chakrabarti (Author), Christos Faloutsos (Author) What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, fo