دانلود کتاب Analyzing the Social Web

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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