jimi adams 
Gathering Social Network Data [EPUB ebook] 

Gathering Social Network Data provides an important complement to existing books that focus on social network analysis, and offers more detailed coverage than is available in existing chapter-length treatments. In a single centralized source, author jimi adams provides: (1) a broad overview of the unique set of general principles underlying network data collection, and (2) guidance on many particular details needed for the application of these principles to particular research questions. As well as chapters on data collection methods, the book includes a chapter on data quality, and another on ethical considerations.

表中的内容

Series Editor′s Introduction

Preface

About the Author

Acknowledgements

1. Why Relationships?

Description, Network Theories, & Theories of Networks

Types of Ties

Outline of the Rest of the Book

2. Sampling & Measuring Network Ties

Network Measurement

Sampling Designs

The ‘Boundary Specification Problem’

3. Modes of Network Data Collection

Active Research Participants

Passive Data Collection

‘Complex’ Network Data

4. Ethical Considerations

Voluntary Participation & Informed Consent

Balancing Risks and Benefits

Using & Presenting Network Data

5. Data Quality: Assessment, Implications, & Improvements

Missing Data

Data Reliability and Validity

6. The Way Forward

Appendix I: Terms & Resources

List of Abbreviations

Glossary

Recommended Additional Resources

Appendix II: Network Data Formats

Appendix III: Existing Data

Sample Instruments

Data Repositories

References

关于作者

jimi adams is a Professor of Sociology at the University of South Carolina. He studies how networks constrain or promote the diffusion of information and/or diseases through populations. Much of this work has focused on HIV/AIDS and Covid-19 among populations in the US and Sub-Saharan Africa. Recently, his work has focused more on the integrative patterns and processes in problem-focused areas of science that draw from many academic disciplines (e.g., HIV/AIDS, demography, the environment). In addition, his work entails a focus on using social network theory to improve strategies used in the design and implementation of primary data collection projects. He received his Ph D in sociology from Ohio State University.