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Introduction

from I - Background

Published online by Cambridge University Press:  01 October 2021

By
Mario L. Small ,
Bernice A. Pescosolido ,
Brea L. Perry  and
Edward B. Smith
Edited by
Mario L. Small ,
Brea L. Perry ,
Bernice Pescosolido  and
Edward B. Smith
Mario L. Small
Affiliation:
Harvard University, Massachusetts
Brea L. Perry
Affiliation:
Indiana University, Bloomington
Bernice Pescosolido
Affiliation:
Indiana University, Bloomington
Edward B. Smith
Affiliation:
Northwestern University, Illinois
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Summary

Network analysis is ubiquitous. It has shaped how researchers and society as a whole understand issues as diverse as the spread of disease, the precursors of loneliness, the rise of protest movements, the causes of social inequality, the flows of air traffic, the rise of social media, and much more (McAdam and Paulsen 1993; Wasserman and Faust 1994; Watts and Strogatz 1998; Watts 1999; Barabási 2002; Christakis and Fowler 2009; Wellman et al. 2021).1 This influence is due to the remarkable flexibility and power of network analysis. A network is simply a set of nodes and the ties between them, and a node can be anything – an individual, an organization, a website, a computer server, an airport, a nation, or any entity with the capacity to connect in any fashion to another entity. The ability to think of any relationship in network terms has proved remarkably generative for researchers.

Type
Chapter
Information
Personal Networks
Classic Readings and New Directions in Egocentric Analysis
 , pp. 3 - 26
Publisher: Cambridge University Press
Print publication year: 2021

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