Analyzing social networks / Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson.

By:

Borgatti, Stephen P [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Los Angeles : SAGE, 2018.Edition: Second editionDescription: xix, 363 pages : illustrations ; 25 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781526404107 (paperback)
1526404109 (paperback)

Subject(s):

LOC classification:

HM741 B64 2018

Online resources:

Click here to view the table of contents

Contents:

Introduction -- Mathematical foundations -- Research design -- Data collection -- Data management -- Multivariate techniques used in network analysis --Visualization -- Testing hypotheses -- Characterizing whole networks -- Centrality -- Subgroups -- Equivalence -- Analyzing two-mode data -- Large networks -- Ego networks.

Summary: Using simple language and equations, the authors provide expert, clear insight into every step of social network analysis -- including basic maths principles that even a novice can follow. Focusing on NetDraw and UCINET, the introduce relevant software tools step-by-step, in an easy to follow way. In addiiton to the fundamentals of network analysis and the research process, this edition emphasizes: digital data and social networks like Twitter; statistical models to use in SNA, like QAP and ERGM; the structure and centrality of networks; and methods for cohesive subgroups/community detection. -- Provided by publisher.

List(s) this item appears in: Research References | Print Books 2022

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Holdings ( 1 )
Title notes ( 4 )

Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Books	Ladislao N. Diwa Memorial Library Reserve Section	Non-fiction	RUS HM741 B64 2018 (Browse shelf(Opens below))		Link to resource	Room use only	77853		00077802

Includes bibliographical references (pages 349-356) and index.

Using simple language and equations, the authors provide expert, clear insight into every step of social network analysis -- including basic maths principles that even a novice can follow. Focusing on NetDraw and UCINET, the introduce relevant software tools step-by-step, in an easy to follow way. In addiiton to the fundamentals of network analysis and the research process, this edition emphasizes: digital data and social networks like Twitter; statistical models to use in SNA, like QAP and ERGM; the structure and centrality of networks; and methods for cohesive subgroups/community detection. -- Provided by publisher.

Fund 164 Linar Educational Materials, Inc. Purchased 11-09-2019 77853 NEJ PHP 2788.00 2019-11-900 2019-1-0739