Advances in Network Clustering and Blockmodeling

Provides  an overview of the developments and advances in the field of network  clustering and blockmodeling over the last 10 years

This  book offers an integrated treatment of network clustering and  blockmodeling, covering all of the newest approaches and methods that  have been developed over the last decade. Presented in a comprehensive  manner, it offers the foundations for understanding network structures  and processes, and features a wide variety of new techniques addressing  issues that occur during the partitioning of networks across multiple  disciplines such as community detection, blockmodeling of valued  networks, role assignment, and stochastic blockmodeling.

Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers  a plethora of diverse perspectives covering topics such as:  bibliometric analyses of the network clustering literature; clustering  approaches to networks; label propagation for clustering; and treating  missing network data before partitioning. It also examines the  partitioning of signed networks, multimode networks, and linked  networks. A chapter on structured networks and coarsegrained  descriptions is presented, along with another on scientific coauthorship  networks. The book finishes with a section covering conclusions and  directions for future work. In addition, the editors provide numerous  tables, figures, case studies, examples, datasets, and more.

• Offers a clear and insightful look at the state of the art in network clustering and blockmodeling
• Provides an excellent mix of mathematical rigor and practical application in a comprehensive manner
• Presents  a suite of new methods, procedures, algorithms for partitioning  networks, as well as new techniques for visualizing matrix arrays
• Features  numerous examples throughout, enabling readers to gain a better  understanding of research methods and to conduct their own research  effectively
• Written by leading contributors in the field of spatial networks analysis

Advances in Network Clustering and Blockmodeling is  an ideal book for graduate and undergraduate students taking courses on  network analysis or working with networks using real data. It will also  benefit researchers and practitioners interested in network analysis.