Cover image for Analyzing the Social Web.
Analyzing the Social Web.
Title:
Analyzing the Social Web.
Author:
Golbeck, Jennifer.
ISBN:
9780124058569
Personal Author:
Physical Description:
1 online resource (291 pages)
Contents:
Front Cover -- Analyzing the Social Web -- Copyright Page -- Dedication -- Brief Table of Contents -- Table of Contents -- List of Figures -- Acknowledgments -- Foreword -- Preface -- 1 Introduction -- Analyzing the social web -- A brief history of the social web -- Websites discussed -- Tools used -- Exercises -- 2 Nodes, Edges, and Network Measures -- Basics of network structure -- Representing networks -- Adjacency lists -- Adjacency matrix -- XML and standard formats -- Basic network structures and properties -- Subnetworks -- Cliques -- Clusters -- Egocentric networks -- Paths and connectedness -- Paths -- Connectedness -- Bridges and hubs -- Exercises -- 3 Network Structure and Measures -- Describing nodes and edges -- Centrality -- Degree centrality -- Closeness centrality -- Betweenness centrality -- Eigenvector centrality -- Describing networks -- Degree distribution -- Density -- Calculating density -- Density in egocentric networks -- Connectivity -- Centralization -- Small worlds -- Exercises -- 4 Network Visualization -- Graph layout -- Random layout -- Circular layout -- Grid layout -- Force-directed layout -- Yifan Hu layout -- Harel-Koren fast multiscale layout -- Other layouts -- Visualizing network features -- Labels -- Size, shape, and color -- Larger graph properties -- Scale issues -- Density -- Filtering for visual patterns -- Graph simplification -- Exercises -- 5 Tie Strength -- The role of tie strength -- Measuring tie strength -- Tie strength and network structure -- Tie strength and network propagation -- Exercises -- 6 Trust -- Defining trust -- Nuances of trust -- Development of trust -- Asymmetry -- Context and time -- Measuring trust -- Propensity to trust -- Trust in others -- Trust in social media -- Inferring trust -- Network-based inference -- Similarity-based trust inference -- Exercises.

7 Understanding Structure Through User Attributes and Behavior -- Analyzing attributes and behavior -- Analyzing content -- Example analysis -- Case study: Identifying user roles -- Exercises -- 8 Building Networks -- Modeling networks -- Defining nodes -- Node types -- Node selection -- Defining edges -- Examples -- Case study: The Enron email network -- Sampling methods -- Random sampling -- Snowball sampling -- Egocentric network analysis -- Exercises -- 9 Entity Resolution and Link Prediction -- Link prediction -- Mathematical notation -- Computing score -- Advanced link prediction techniques -- Entity resolution -- Scoring techniques -- Incorporating network data -- More sophisticated entity resolution -- Link prediction: Case study-Friend recommendation -- Entity resolution: Case study-Finding duplicate accounts -- Conclusion -- Exercises -- 10 Propagation in Networks -- Epidemic models -- Threshold models -- The firefighter problem -- Stochastic models -- Applications of epidemic models to social media -- Exercises -- 11 Community-Maintained Resources -- Supporting technologies for community-maintained resources -- Wikis -- Message boards -- Repositories -- User motivations -- User Motivation-case study: Wikipedia -- Background -- Editor motivation -- Site maintenance-case study: Geocaching -- Background -- Maintenance -- Exercises -- 12 Location-Based Social Interaction -- Location technology -- User-posted location data -- Estimating location data via IP address -- GPS location data -- Mobile location sharing -- Location-based social media analysis -- Location-based analysis of offline events -- The flu -- Fires -- Crowdsourced crisis information -- Marketing -- Privacy and location-based social media -- Conclusions -- Exercises -- 13 Social Information Filtering -- Social sharing and social filtering -- Automated recommender systems.

Traditional recommender systems -- Social recommender systems -- Case study: Reddit voting system -- Case study: Trust-based movie recommendations -- Conclusions -- Exercises -- 14 Social Media in the Public Sector -- Analyzing public-sector social media -- Analyzing individual users -- Case study: Social media to solve an attempted child abduction -- Case study: Congressional use of twitter -- Case study: Predicting elections and astroturfing -- Exercises -- 15 Business Use of Social Media -- Measuring success -- Broadcast example: Will it Blend? Marketing campaign -- Interaction and monitoring example: Zappos customer service -- Social media failure example: Celeb boutique and the NRA -- Conclusions -- Exercises -- 16 Privacy -- Privacy policies and settings -- Privacy settings -- Privacy policies -- Aggregation and data mining -- Deanonymization -- Inferring data -- Data mining -- Data ownership and maintaining privacy online -- Respecting privacy in social media analysis -- Exercises -- 17 Case Study: Social Network Strategies for Surviving the Zombie Apocalypse -- Introduction -- The zombies are coming -- Related work and background of the zombie apocalypse -- Network strategies for the individual: Avoiding infection -- Tie strength -- Network structure -- Network strategies for the government: Stopping the spread -- Network strategies for the individual: Obtaining information -- Network strategies for the government: Information sharing -- Exercises -- References -- Glossary -- Index.
Abstract:
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. Presents interactive social applications on the web, and the types of analysis that are currently conducted in the study of social media. Covers the basics of network structures for beginners, including measuring methods for describing nodes, edges, and parts of the network. Discusses the major categories of social media applications or phenomena and shows how the techniques presented can be applied to analyze and understand the underlying data. Provides an introduction to information visualization, particularly network visualization techniques, and methods for using them to identify interesting features in a network, generate hypotheses for analysis, and recognize patterns of behavior. Includes a supporting website with lecture slides, exercises, and downloadable social network data sets that can be used can be used to apply the techniques presented in the book.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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