of Randomization in Experimental Design Alferes172 Heteroskedasticity in Regression Kaufman
173 An Introduction to Exponential Random Graph Modeling Harris
174 Introduction to Time Series Analysis Pickup
175 Factorial Survey Experiments Auspurg/Hinz
176 Introduction to Power Analysis: Two-Group Studies Hedberg
177 Linear Regression: A Mathematical Introduction Gujarati
178 Propensity Score Methods and Applications Bai/Clark
179 Multilevel Structural Equation Modeling Silva/Bosancianu/Littvay
180 Gathering Social Network Data adams
181 Generalized Linear Models for Bounded and Limited Quantitative Variables Smithson/Shou
182 Exploratory Factor Analysis Finch
183 Multidimensional Item Response Theory Bonifay
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Social Network Analysis
Third Edition
David Knoke
University of Minnesota
Song Yang
University of Arkansas
Los Angeles
London
New Delhi
Singapore
Washington DC
Melbourne
Copyright © 2020 by SAGE Publications, Inc.
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Library of Congress Cataloging-in-Publication Data
Names: Knoke, David, author. | Yang, Song, author.
Title: Social network analysis / David Knoke, University of Minnesota, Song Yang, University of Arkansas.
Description: Third edition. | Thousand Oaks, California: SAGE, [2020] |
Series: Quantitative applications in the social sciences; 154 | Includes bibliographical references and index.
Identifiers: LCCN 2019031097 | ISBN 9781506389318 (paperback) | ISBN 9781506389295 (epub) | ISBN 9781506389301 (epub) | ISBN 9781506389325 (web pdf)
Subjects: LCSH: Social networks.
Classification: LCC HM741 .K66 2020 | DDC 302.3—dc23
LC record available at https://lccn.loc.gov/2019031097
Printed in the United States of America
This book is printed on acid-free paper.
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Series Editor’s Introduction
Much has happened since the publication of Social Network Analysis, 2nd edition. Perhaps most importantly from the standpoint of its content, “social network” has entered the modern lexicon. Facebook and YouTube started in the mid-2000s, quickly followed by Twitter, Snapchat, WhatsApp, and others. Social media applications have exploded. The percentage of U.S. adults using at least one social media site increased from 5% in 2005 to 25% in 2008, to 50% in 2011, and is now nearly 75% according to Pew Research Center estimates. Of course, social networks are not new. They have formed the organizational backbone of social life for many millennia and have been a focus of social science research for almost a century. What is new is broad public interest in social networks, including how they can be manipulated, for good or ill. Also new is the creation and accumulation of massive online datasets reflecting and recording participation in social media. These trends have inspired David Knoke and
