An Introduction to Social Network Analysis for Personality and Social Psychologists. (May 2017)
- Record Type:
- Journal Article
- Title:
- An Introduction to Social Network Analysis for Personality and Social Psychologists. (May 2017)
- Main Title:
- An Introduction to Social Network Analysis for Personality and Social Psychologists
- Authors:
- Clifton, Allan
Webster, Gregory D. - Abstract:
- Social network analysis (SNA) is a methodology for studying the connections and behavior of individuals within social groups. Despite its relevance to social and personality psychology, SNA has been underutilized in these fields. We first examine the paucity of SNA research in social and personality journals. Next we describe methodological decisions that must be made before collecting social network data, with benefits and drawbacks for each. We discuss common SNAs and give an overview of software available for SNA. We provide examples from the literature of SNA for both one-mode and two-mode network data. Finally, we make recommendations to researchers considering incorporating SNA into their research.
- Is Part Of:
- Social psychological & personality science. Volume 8:Number 4(2017)
- Journal:
- Social psychological & personality science
- Issue:
- Volume 8:Number 4(2017)
- Issue Display:
- Volume 8, Issue 4 (2017)
- Year:
- 2017
- Volume:
- 8
- Issue:
- 4
- Issue Sort Value:
- 2017-0008-0004-0000
- Page Start:
- 442
- Page End:
- 453
- Publication Date:
- 2017-05
- Subjects:
- social networks -- social network analysis -- groups -- methods -- interpersonal relations
Personality -- Periodicals
Social psychology -- Periodicals
Electronic journals
155.2 - Journal URLs:
- http://spp.sagepub.com/ ↗
http://online.sagepub.com/ ↗ - DOI:
- 10.1177/1948550617709114 ↗
- Languages:
- English
- ISSNs:
- 1948-5506
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7758.xml