Analyzing the Social Web

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Overview

Analyzing the Social Web provides a framework for the analysis of public data currently available and being generated by social networks and social media, like Facebook, Twitter, and Foursquare. Access and analysis of this 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 introduces you to these techniques, shows you their application to many different types of social media, and discusses how social media can be used as a tool for interacting with the online public.

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Editorial Reviews

From the Publisher
This is the first book that empowers students from acrossthe disciplines to delve into the secrets of social networks. It is a pedagogic masterpiecein which Jen Golbeck demonstrates her research talent and dedication toteaching. -Jennifer J. Preece, Professor & Dean, College of Invormation Studies, University of Maryland

There have been many fine recent publications that attempt to acquaint the reader with the use of social network analysis techniques to understand social media. Analyzing the Social Web stands tall among its peers by being both comprehensive and comprehensible. This book is accessible to a novice in social network analysis and/or social media, but is also an excellent resource for the more experienced. I am confident that this book will help stimulate a new generation of social network analysis research on social media that will be rigorous, innovative, and relevant. -Noshir Contractor, Jane S. & William J. White Professor of Behavioral Sciences, Northwestern University

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Product Details

  • ISBN-13: 9780124055315
  • Publisher: Elsevier Science
  • Publication date: 3/29/2013
  • Pages: 290
  • Sales rank: 422,801
  • Product dimensions: 7.40 (w) x 9.10 (h) x 0.80 (d)

Meet 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
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Table of Contents

Analyzing the Social Web

Introduction

Nodes, Edges, and Network Measures

Network Structure and Measures

Network Visualization

Tie Strength

Trust

Understanding Structure Through User Attributes and Behavior

Building Networks

Propagation in Networks

Community-Maintained Resources

Location-Based Social Interaction

Social Information Filtering

Social Media in the Public Sector

Business Use of Social Media

Privacy

Case Study: Social Network Strategies for Surviving the Zombie Apocalypse

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