Social Networks and Health Models, Methods, and Applications

ISBN-10: 0195301013

ISBN-13: 9780195301014

Edition: 2010

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Book details

List price: $54.95
Copyright year: 2010
Publisher: Oxford University Press
Publication date: 3/25/2010
Binding: Hardcover
Pages: 304
Size: 6.25" wide x 9.25" long x 0.75" tall
Weight: 1.518
Language: English

Thomas W. Valente, Department of Preventive Medicine, Keck School of Medicine, University of Southern California.

Models
Introduction
Relationships Matter
Random Sampling Is Not Enough
Literature Overview
Major Research Advances
Individual- and Network-Level Measures
Summary
History
History Reconsidered
Behavioral Science
Life Span Approaches
Public Health and Medical Applications
Summary
Methods
Data Collection Techniques
Data Management
Data Characteristics
Network Variables
Summary
Ego- and Personal-Network Effects
Measures
Statistical Analysis
Personal Network versus Sociometric Variables
Snowball/Sequenced Data
Summary
Measures
Centrality
Degree
Closeness
Distances for Unconnected Nodes
Betweenness
Correlation among Centrality Measures
Other Centrality Measures
Link or Edge Centrality
Centrality versus Centralization
Centrality and Behavior
Characteristics of Opinion Leaders
Summary
Groups
Components and K-Cores
Girvan-Newman Technique
Groups and Behavior
Group Membership and Disease
Groups, Density, and Bridges
Summary
Positions
Network-Level Positions
CONCOR
Individual Positional Measures
Individual Measures as Positions
Positions and Behavior
Network Weights
Summary
Network-Level Measures
Size
Density
Mutuality/Reciprocity
Triads/Transitivity
Diameter/Average Path Length
Density and Cohesion
Clustering
Centralization
Core-Periphery
Two-Mode Data
Individual Network-Level Interactions
Summary
Applications
Exponential Random Graph Models, P* and Actor Oriented Models
Estimating the Link
Vectorizing the Matrix
Exponential Random Graph Models (ERGM)
Simulation
New Specifications
Obesity Example
Actor-Oriented Model
WINCART
Summary
Diffusion of Innovations
Homogeneous Mixing
Integration and Opinion Leadership
Structural Models
Dynamic Models
Empirical Estimates Using Diffusion Network Data
Infection and Susceptibility
Thresholds
Limitations to Diffusion Theory
Summary
Network Interventions
Opinion Leaders
Key Players
Groups
Identifying Leaders and Groups
Snowball Sampling or Network Recruitment
Rewiring Networks
Bridges and potential Bridges
Links versus Nodes
Networks and Attributes
Iatrogenic Effects
A Pharmaceutical Marketing Example
Summary
Summary
Agent-Based Modeling
Increasing the Threshold
Statistical Analysis
Network Scale
Future Research Questions
How to Get Started
Limitations
Conclusion
Glossary
Sample Sociometric Survey
Sample Egocentric Survey
Centrality Scores for Network in Figure 1-1
Input Files (Network and Attribute) for the Network in Figure 1-1
References
Author Index
Subject Index
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