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Social networks and social media, like Facebook, Twitter, and Foursquare, are some of the most popular services on the web, with hundreds of millions of users. Access to this volume of public data about people and their connections to one another allows for new applications of traditional social network analysis techniques that let us identify things like who are the most important or influential people in a network, how things will spread through the network, and the nature of peoples' relationships. Analyzing the Social Web will introduce these techniques, show their application to many different types of social media, and discuss how social media can be used as a tool for interacting with the online public.
About the author
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
Summary
Provides a framework for analysis of public data and being generated by social networks and social media, like Facebook, Twitter, and Foursquare. This book introduces you to these techniques, shows you their application to different types of social media, and discusses how social media can be used as a tool for interacting with online public.
