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David Knoke - Network analysis, Volume 28

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Network Analysis brings the concepts and applications of this procedure to the broader social science audience and their students. The authors systematically inventory the central features of the network analytic technique, cite original sources to be consulted for greater detail, and suggest diverse applications in social science research. The book itself is...comprehensive and it has the low level of mathematics typical of this series...a good place for a social scientist to start. -- Bethlem and Maudsley Gazette, Vol 31 No 2, 1983

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title Network Analysis Sage University Papers Series Quantitative - photo 1

title:Network Analysis Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-028
author:Knoke, David.; Kuklinski, James H.
publisher:Sage Publications, Inc.
isbn10 | asin:080391914X
print isbn13:9780803919143
ebook isbn13:9780585217024
language:English
subjectSocial sciences--Network analysis.
publication date:1982
lcc:H61.K633 1982eb
ddc:300/.28/51
subject:Social sciences--Network analysis.
Network Analysis
SAGE UNIVERSITY PAPERS
Series: Quantitative Applications in the Social Sciences
Series Editor: Michael S. Lewis-Beck, University of Iowa
Editorial Consultants
Richard A. Berk, Sociology, University of California, Los Angeles
William D. Berry, Political Science, Florida State University
Kenneth A. Bollen, Sociology, University of North Carolina, Chapel Hill
Linda B. Bourque, Public Health, University of California, Los Angeles
Jacques A. Hagenaars, Social Sciences, Tilburg University
Sally Jackson, Communications, University of Arizona
Richard M. Jaeger, Education, University of North Carolina, Greensboro
Gary King, Department of Government, Harvard University
Roger E. Kirk, Psychology, Baylor University
Helena Chmura Kraemer, Psychiatry and Behavioral Sciences, Stanford University
Peter Marsden, Sociology, Harvard University
Helmut Norpoth, Political Science, SUNY, Stony Brook
Frank L. Schmidt, Management and Organization, University of Iowa
Herbert Weisberg, Political Science, The Ohio State University
Publisher
Sara Miller McCune, Sage Publications, Inc.
INSTRUCTIONS TO POTENTIAL CONTRIBUTORS
For guidelines on submission of a monograph proposal to this series, please write
Michael S. Lewis-Beck, Editor
Sage QASS Series
Department of Political Science
University of Iowa
Iowa City, IA 52242
Page 1
Series / Number 07-028
Network Analysis
David Knoke
James H. Kuklinski
Indiana University
Picture 2
SAGE Publications
The International Professional Publishers
Newbury Park London NewDelhi
Page 2
Copyright 1982 by Sage Publications, Inc.
All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher.
For information address:
Picture 3
SAGE Publications, Inc.
2455 Teller Road
Newbury Park, California 91320
E-mail: order@sagepub.com
SAGE Publications Ltd.
6 Bonhill Street
London EC2A 4PU
United Kingdom
SAGE Publications India Pvt. Ltd.
M-32 Market
Greater Kailash I
New Delhi 110 048 India
Printed in the United States of America
International Standard Book Number 0-8039-1914-X
Library of Congress Catalog Card No. L.C. 82-042622
99 00 01 02 16 15 14 13 12 11
When citing a university paper, please use the proper form. Remember to cite the Sage University Paper series title and include the paper number. One of the following formats can be adapted (depending on the style manual used):
(1) Iversen, G.R., & Norpoth, H. (1976). Analysis of variance (Sage University Paper series on Quantitative Applications in the Social Sciences, No. 07-001). Beverly Hills, CA: Sage.
OR
(2) Iversen, G.R., & Norpoth, H. 1976. Analysis of variance. Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-001. Beverly Hills, CA: Sage.
Page 3
Contents
Series Editor's Introduction
5
1. Introduction
7
2. Basic Concepts
9
Picture 4
Attributes and Relations
10
Picture 5
Networks
12
Picture 6
Research Design Elements
14
Picture 7
Structure in Complete Networks
18
3. Data Collection
22
Picture 8
Boundary Specification
22
Picture 9
Sampling of Networks in Large Populations
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