Analyzing the Social Web

Jennifer Golbeck Ph.D Is an Associate Professor in the College of Information Studies and Director of the Human-Computer Interaction Lab at the University of Maryland, College Park. Her research interests include social network and social media analysis, recommender systems, trust on the web, human computer interaction and and how to use social relationships to improve the way people interact with information. She was named as one of IEEE Intelligent System's "Top Ten to Watch", is a Research Fellow in the Web Science Research Initiative and is a sought after speaker on social media

"This…aims to integrate a number of approaches to social network analysis that have been proposed in a variety of disciplines, such as mathematics, computer science, sociology, and biology, to develop a unified framework…this is a nice introductory textbook for social network analysis, with lots of examples and use cases and a clear explanation of the basic concepts and techniques used in this field." --ComputingReviews.com, November 27, 2013"Techniques from the natural sciences, social sciences, computer science and mathematics are used to describe and visualize social relationships and quantify connectedness. The utility of such analysis is then explored through case studies, pointing out both the potential malicious use of publicly shared information and pro-social uses of network analysis to combat online dangers." --Reference and Research Book News, October 2013"…it is a carefully crafted explanation of the subject, made readable through the use of interesting and sometimes entertaining examples of applications to the social web…The book will be of interest to those seeking a largely non-mathematical introduction to network analysis, whether for application to the social web or not." --BCS.org, September 2013"This is the first book that empowers students from across the disciplines to delve into the secrets of social networks. It is a pedagogic masterpiece in which Jen Golbeck demonstrates her research talent and dedication to teaching." --Jennifer J. Preece, Professor and Dean, College of Information Studies, University of Maryland

• 1. Introduction 2. Nodes, Edges, and Network Measures 3. Network Structure and Measures 4. Network Visualization 5. Tie Strength 6. Trust 7. Understanding Structure Through User Attributes and Behavior 8. Building Networks 9. Propagation in Networks 10. Community-Maintained Resources 11. Location-Based Social Interaction 12. Social Information Filtering 13. Social Media in the Public Sector 14. Business Use of Social Media 15. Privacy 16. Case Study: Social Network Strategies for Surviving the Zombie Apocalypse