Machine learning is a field at the intersection of statistics and computer science that uses
algorithms to extract information and knowledge from data. Its applications increasingly find …

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 …

Egocentric network analysis is used widely across the social sciences, especially in
anthropology, political science, economics, and sociology, and is increasingly being …

An important underlying assumption that guides the success of the existing multiview
learning algorithms is the full observation of the multiview data. However, such rigorous …

Throughout the book, we use empirical examples to illustrate the material. Because social
networks are studied in a variety of traditional academic disciplines, we draw our examples …

Networks, also called graphs by mathematicians, provide a useful abstraction of the
structure of many complex systems, ranging from social systems and computer networks to …

In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …

Social'and'Economic' Networks' Page 1 Social'and'Economic' Networks' ! ! ! ! ! ! ! Matthew O.
Jackson Copyright: Matthew O. Jackson 2014 Please do not post or distribute without …

Networks or graphs can easily represent a diverse set of data sources that are characterized
by interacting units or actors. Social networks, representing people who communicate with …

Social Network Analysis and Education: Theory, Methods & Applications provides an
introduction to the theories, methods, and applications that constitute the social network …