How does the Web look? How could we tell an abnormal social network from a normal one?
These and similar questions are important in many fields where the data can intuitively be …

How does a 'normal'computer (or social) network look like? How can we spot 'abnormal'sub-
networks in the Internet, or web graph? The answer to such questions is vital for outlier …

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 …

This text takes a focused and comprehensive look at mining data represented as a graph,
with the latest findings and applications in both theory and practice provided. Even if you …

Graph mining and management has become a popular area of research in recent years
because of its numerous applications in a wide variety of practical fields, including …

The standard, transactional setting of pattern mining assumes that data is subdivided in
transactions; the aim is to find patterns that can be mapped onto at least a minimum number …

The prosperity of Web 2.0 and social media brings about many diverse social networks of
unprecedented scales, which present new challenges for more effec-tive graph-mining …

Large networks are becoming a widely used abstraction for studying complex systems in a
broad set of disciplines, ranging from social-network analysis to molecular biology and …

Brian Hayes art I of this article, in the January-February issue, discussed some very large
structures that can usefully be looked upon as mathe matical graphs. In this context a graph …

We live in an age of so-called Big Data. We hear terms like data scientist, and there is much
talk about analytics and the mining of large amounts of corporate data for tidbits of business …