2015
DOI: 10.1037/gdn0000021
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Social network analysis in the science of groups: Cross-sectional and longitudinal applications for studying intra- and intergroup behavior.

Abstract: Social scientists increasingly recognize the potential of social network analysis, which enriches the explanation of human behavior by explicitly taking its social structure into account. In particular for the science of groups, social network analysis has reached a point of analytic refinement that makes it a valuable tool for investigating some of the central mechanisms that underlie intra- and intergroup behavior. The present article highlights the general relevance of this scientific approach and describes… Show more

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Cited by 146 publications
(107 citation statements)
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References 62 publications
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“…First, this approach does justice to the quantity and quality of social ties in a person's social network (e.g., a classroom) in a way that underlines the importance of reciprocal friendship links (see Wölfer, Faber, & Hewstone, ). Traditional measures of contact, relying on self‐reports of one's own direct contact miss out on this reciprocal aspect.…”
Section: The Diversity Debate and The Missing Role Of Contactmentioning
confidence: 99%
“…First, this approach does justice to the quantity and quality of social ties in a person's social network (e.g., a classroom) in a way that underlines the importance of reciprocal friendship links (see Wölfer, Faber, & Hewstone, ). Traditional measures of contact, relying on self‐reports of one's own direct contact miss out on this reciprocal aspect.…”
Section: The Diversity Debate and The Missing Role Of Contactmentioning
confidence: 99%
“…Studies often vary in the type of relationship used to operationalise friendship (Berndt & McCandless, ), but few look across different friendship relationships (see McCormick et al ., for an exception). Beyond that, while contact research traditionally focuses on self‐report measures (see Hewstone et al ., for an exception), we applied a more comprehensive approach using social network data that overcame some limitations of previous studies (see Wölfer et al ., ). This is of particular relevance in Northern Ireland where, due to the divided nature of communities and neighbourhoods, it is often challenging to maintain cross‐group friendships outside of the school gates.…”
Section: Discussionmentioning
confidence: 97%
“…Further, whereas traditional self‐report methods only allow for the examination of unidirectional friendship claims, social network analysis allows researchers to examine whether friendships are reciprocated. For the study of cross‐group friendships this provides a more accurate and less biased assessment of individuals’ intra‐ and intergroup relationships (for a general introduction to SNA, see Wölfer et al ., ; for a contact‐specific overview, see Wölfer & Hewstone, ).…”
Section: Exploring Cross‐group Friendshipmentioning
confidence: 99%
“…SAOMs were initially developed in the social sciences, and have been used extensively to study human behaviour. Example research questions include how music preferences and drug taking habits develop within and among friendship groups (Steglich, Snijders & West ) and how unethical behaviour can spread within organisations (Zuber ), see Wölfer, Faber & Hewstone () for a review. Such questions have clear analogies for non‐human animal behaviour (such as the spread of a novel foraging technique through a group; Boogert et al .…”
Section: Introductionmentioning
confidence: 99%