Description
Analyzing the Social Web
Author: Golbeck Jennifer
Language: EnglishSubjects for Analyzing the Social Web:
Keywords
Adjacency list; Adjacency matrix; Apocalypse; Astroturfing; Behavior; Bridges; Centrality; Check-in; Clustering; Community-maintained resources; Computational epidemiology; Content analysis; Customer service; Data cleaning; Data mining; Density; Disease models; E-government; Edges; Egocentric networks; Email networks; Emergency response; Entity resolution; Epidemiology; FourSquare; GPS; Geocaching; Granovetter; Graph drawing; Graph layout; Graphs; Hubs; Information filtering; Information propagation; Information sharing; Information visualization; Investment game; Link prediction; Location-based services; Mobile; Name resolution; Network flow; Network forecasting; Network propagation; Network sampling; Network structure; Network visualization; Networks; Node types; Nodes; Online communities; Politics; Privacy; Privacy policies; Privacy settings; ROI; Recommender systems; Reddit; Relationship strength; Relationship types; Scaling; Small worlds; Social filtering; Social media; Social media campaigns; Social media content; Social networks; Social readers; Social web; Strong ties; Tie strength; Trust; Trust inference; User attributes; User motivation; User roles; Viral marketing; Viral videos; Visualization tools; Weak ties; Wikipedia; Zombies
290 p. · 19x23.3 cm · Paperback
Description
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Researchers, academics, practitioners, and students in HCI, user experience design, data Information analysts, information and data warehouse and systems engineers.
- 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