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

By:

Borgatti, Stephen P [author.]

Contributor(s):

Material type: Text

TextPublisher: SAGE, 2018Edition: 2nd 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 BOR

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.

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Book	Main Library Open Shelf	HM741 BUR (Browse shelf(Opens below))	158464	Available		BK145889
Book	Main Library Open Shelf	HM741 BUR (Browse shelf(Opens below))	158465	Available		BK145788

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Previous	HM736 KIN Once upon a group:	HM741 BIR Social networks and their economics :	HM741 BUR Analyzing social networks /	HM741 BUR Analyzing social networks /	HM741 SAG The Sage handbook of social network analysis /	HM741 SAG The Sage handbook of social network analysis /	HM741 SAG The Sage handbook of social network analysis /	Next

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

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

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.

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