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Egocentric network analysis is used widely across the social sciences, especially in anthropology, political science, economics, and sociology, and is increasingly being employed in communications, informatics, and business and marketing studies. Egocentric network analysis requires a unique set of data collection and analysis skills that overlap only minimally with other network methodologies. However, until now there has been no single reference for conceptualizing, collecting, and analyzing egocentric social network data. This comprehensive guide to study design, data collection, and analysis brings together the state of knowledge with the most effective research tools to guide newcomers to this field. It is illustrated with many engaging examples and graphics and assumes no prior knowledge. Covering the entire research process in a logical sequence, from conceptualizing research questions to interpreting findings, this volume provides a solid foundation for researchers at any stage of their career to learn and apply ego network methods.

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Egocentric network analysis is used widely across the social sciences, especially in anthropology, political science, economics, and sociology, and is increasingly being employed in communications, informatics, and business and marketing studies. Egocentric network analysis requires a unique set of data collection and analysis skills that overlap only minimally with other network methodologies.

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Social Network Analysis [Scott, John] on Amazon.com. *FREE* shipping on qualifying offers. Social Network Analysis

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Analyzing Social Networks [Borgatti, Stephen P, Everett, Martin G., Johnson, Jeffrey C.] on Amazon.com. *FREE* shipping on qualifying offers. Analyzing Social Networks

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Introduction

Peter J Carrington and John Scott

Alexandra Marin and Barry Wellman

Social Network Analysis: An Introduction

The Development of Social Network Analysis - with an Emphasis on Recent Events

Stephen P Borgatti and Virginie Lopez-Kidwell

Social Physics and Social Networks

Social Networks in Economics

Relational Sociology, Culture and Agency

PART TWO: SUBSTANTIVE TOPICS

Vincent Chua, Julia Madej and Barry Wellman

Personal Communities: The World According to Me

Lijun Song, Joonmo Son and Nan Lin

Kinship, Class and Community

Anatoliy Gruzd and Caroline Haythornthwaite

Networking Online: Cybercommunities

William K Carroll and J P Sapinski

Corporate Elites and Intercorporate Networks

Matthew Bond and Nicholas Harrigan

Political Dimensions of Corporate Connections

Social Movements and Collective Action

Crime and Social Network Analysis

Terrorist Networks: The Threat of Connectivity

Scientific and Scholarly Networks

Ron Johnston and Charles Pattie

Social Networks, Geography and Neighbourhood Effects

A Multiple-Network Analysis of the World System of Nations, 1995-1999

PART THREE: CONCEPTS AND METHODS

Robert A Hanneman and Mark Riddle

A Brief Introduction to Analyzing Social Network Data

Robert A Hanneman and Mark Riddle

Concepts and Measures for Basic Network Analysis

Survey Methods for Network Data

Survey Sampling in Networks

Stephen P Borgatti and Daniel S Halgin

Analyzing Affiliation Networks

Anuška Ferligoj, Patrick Doreian and Vladimir Batagelj

Relation Algebras and Social Networks

Marijtje A J van Duijn and Mark Huisman

Statistical Models for Ties and Actors

Exponential Random Graph Models for Social Networks

Models and Methods to Identify Peer Effects

Klaus Hamberger, Michael Houseman and Douglas R White

Large-Scale Network Analysis

Mark Huisman and Marijtje A J van Duijn

A Reader's Guide to Social Network Analysis Software

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The SAGE Handbook of Social Network Analysis

# data[].attributes.attachment_link.description
Introduction Peter J Carrington and John Scott Alexandra Marin and Barry Wellman Social Network Analysis: An Introduction The Development of Social Network Analysis - with an Emphasis on Recent Events Stephen P Borgatti and Virginie Lopez-Kidwell Social Physics and Social Networks Social Networks in Economics Relational Sociology, Culture and Agency

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Introduction to Social Network Methods (Excellent Online Text)

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Introduction to Social Network Methods (Excellent Online Text)

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Introduction to social network methods

Table of contents
About this book
This on-line textbook introduces many of the basics of formal approaches to the analysis of social networks. The text relies heavily on the work of Freeman, Borgatti, and Everett (the authors of the UCINET software package). The materials here, and their organization, were also very strongly influenced by the text of Wasserman and Faust, and by a graduate seminar conducted by Professor Phillip Bonacich at UCLA. Many other users have also made very helpful comments and suggestions based on the first version. Errors and omissions, of course, are the responsibility of the authors.

You are invited to use and redistribute this text freely -- but please acknowledge the source.

Hanneman, Robert A. and Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside ( published in digital form at http://faculty.ucr.edu/~hanneman/ )

Table of contents: 1. Social network data
2. Why formal methods?
3. Using graphs to represent social relations
4. Working with Netdraw to visualize graphs
5. Using matrices to represent social relations
6. Working with network data
7. Connection
8. Embedding
9. Ego networks
10. Centrality and power
11. Cliques and sub-groups
12. Positions and roles: The idea of equivalence
13. Measures of similarity and structural equivalence
14. Automorphic equivalence
15. Regular equivalence
16. Multiplex networks
17. Two-mode networks
18. Some statistical tools
Bibliography

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Introduction to Social Network Methods: Table of Contents

# data[].attributes.attachment_link.description
Introduction to social network methods Table of contents About this book This on-line textbook introduces many of the basics of formal approaches to the analysis of social networks. The text relies heavily on the work of Freeman, Borgatti, and Everett (the authors of the UCINET software package).

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SAGE Research Methods - Social Network Analysis for Ego-Nets

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The ego-net approach to social network analysis, which takes discrete individual actors and their contacts as its starting point, is one of the most widely u

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Written at an introductory level, and featuring engaging case examples, this book reviews the theory and practice of personal and egocentric network research. This approach offers powerful tools for capturing the impact of overlapping, changing social relationships and contexts on individuals' attitudes and behavior. The authors provide solid guidance on the formulation of research questions; research design; data collection, including decisions about survey modes and sampling frames; the measurement of network composition and structure, including the use of name generators; and statistical modeling, from basic regression techniques to more advanced multilevel and dynamic models. Ethical issues in personal network research are addressed. User-friendly features include boxes on major published studies, end-of-chapter suggestions for further reading, and an appendix describing the main software programs used in the field.

This title is part of the Methodology in the Social Sciences Series, edited by Todd D. Little, PhD.

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Conducting Personal Network Research: A Practical Guide

# data[].attributes.attachment_link.description
Written at an introductory level, and featuring engaging case examples, this book reviews the theory and practice of personal and egocentric network research. This approach offers powerful tools for capturing the impact of overlapping, changing social relationships and contexts on individuals' attitudes and behavior.