The analysis of network data is an area that is rapidly growing, both within and outside of the
discipline of statistics. This review provides a concise summary of methods and models used …

Data sets originating from many different real world domains can be represented in the form
of interaction networks in a very natural, concise and meaningful fashion. This is particularly …

We consider three distinct and well-studied problems concerning network structure:
community detection by modularity maximization, community detection by statistical …

This chapter characterises the scope of this book. It explains the reasons why one should be
interested in cluster analysis, lists major application areas, basic theoretical and practical …

Graph vertices are often organized into groups that seem to live fairly independently of the
rest of the graph, with which they share but a few edges, whereas the relationships between …