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Analyzing social networks

By: Contributor(s): Material type: TextTextLanguage: English Language Publication details: New Delhi SAGE Publications, 2018Edition: 2ndDescription: xix, 363 25 cmISBN:
  • 9781526404091
  • 1526404095
  • 9781526404107
  • 1526404109
Subject(s): DDC classification:
  • 302.3 BOR
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.
Item type: Lending Books
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode Item holds
Lending Books Lending Books Applied Sciences Library Lending Section Lending Collection 302.3 BOR (Browse shelf(Opens below)) Available $13.37 112976
Total holds: 0

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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