Community detection is a fundamental problem in social network analysis consisting,
roughly speaking, in unsupervised dividing social actors (modeled as nodes in a social …

There have been rapid developments in model-based clustering of graphs, also known as
block modelling, over the last ten years or so. We review different approaches and …

The classification problem is closely related to the clustering problem discussed in Chaps. 6
and 7. While the clustering problem is that of determining similar groups of data points, the …

Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

In this paper we discuss a very simple approach of combining content and link information in
graph structures for the purpose of community discovery, a fundamental task in network …

Background In public health surveillance, measuring how information enters and spreads
through online communities may help us understand geographical variation in decision …

In this paper, we formally define the problem of topic modeling with network structure (TMN).
We propose a novel solution to this problem, which regularizes a statistical topic model with …

This text sets out a series of approaches to the analysis and synthesis of the World Wide
Web, and other web-like information structures. A comprehensive set of research questions …

A multi-mode network typically consists of multiple heterogeneous social actors among
which various types of interactions could occur. Identifying communities in a multi-mode …