Table of Contents

Handbook of Research Methods and Applications in Spatially Integrated Social Science

Handbook of Research Methods and Applications in Spatially Integrated Social Science

Handbooks of Research Methods and Applications series

Edited by Robert Stimson

The chapters in this book provide coverage of the theoretical underpinnings and methodologies that typify research using a Spatially Integrated Social Science (SISS) approach. This insightful Handbook is intended chiefly as a primer for students and budding researchers who wish to investigate social, economic and behavioural phenomena by giving explicit consideration to the roles of space and place. The majority of chapters provide an emphasis on demonstrating applications of methods, tools and techniques that are used in SISS research, including long-established and relatively new approaches.

Chapter 21: Analysing human social networks

Galina Daraganova and Philippa Pattison

Subjects: economics and finance, regional economics, geography, economic geography, environmental geography, human geography, research methods in geography, research methods, research methods in economics, research methods in geography, urban and regional studies, regional economics, research methods in urban and regional studies


The chapter describes the foundations of social network analysis. It provides an introduction to the concepts and methods of social network analysis, and it illustrates their application in the social sciences. The primary focus of these methods is the analysis of connections among a group of social actors. After a brief introduction to key graph theoretical concepts, we review methods for exploring cohesive subgroups within networks. The chapter then addresses structural properties of actors such as centrality, and it then goes on to discuss the positional equivalence of actors, including structural equivalence and block models. It provides an introduction to statistical analysis, including exponential random graph models. Finally the chapter illustrates application of a number of popular network analysis software packages, including Pajek, UCINET, StOCNET and PNet.

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