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

By:

Borgatti, Stephen P [author.]

Contributor(s):

Publisher: Los Angeles : SAGE, 2018Edition: 2nd editionDescription: xix, 363 pages : illustrations ; 25 cmISBN:

9781526404091 (hardback)
1526404095 (hardback)
9781526404107 (paperback)
1526404109 (paperback)

Subject(s):

DDC classification:

302.3 23 B732

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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كتاب

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Title notes ( 2 )

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Item type	Current library	Call number	Status	Notes	Date due	Barcode
كتاب	Central Library المكتبة المركزية	302.3 B732 (Browse shelf(Opens below))	Available	قاعة الكتب

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Previous	302.234072 F951 Social media : a critical introduction /	302.3/5 D781 Organizational culture in action : a cultural analysis workbook /	302.3/5 M449 Organisational behaviour /	302.3 B732 Analyzing social networks /	302.3 S427 SOCIAL NETWORK ANALYSIS /	302.35 B824 Introduction to work and organizational behaviour /	302.35 B918 Organizational behaviour : an introduction text /	Next

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.