University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Motifs: Dominant interaction patterns in event structures of serendipity

McBirnie, A and Urquhart, C (2011) Motifs: Dominant interaction patterns in event structures of serendipity Information Research, 16 (3). p. 5.

Text (licence)
Available under License : See the attached licence file.

Download (33kB) | Preview


Introduction. This paper reports on research aimed at detecting motifs that take the form of interaction patterns found in event structures of serendipity. A motif is a frequently recurring theme, pattern or idea that appears within the bounds of a larger structure. Method. Fifty narratives recounting experiences of serendipity in research were analysed from an event-based perspective and described as networks of phenomenological event structures. Analysis. Motif detection is a form of statistical comparison that relies on the algorithmic generation of formal random network models. The Fast Network Motif Detection (FANMOD) software was employed to detect size 3 motifs containing ego occurring within the serendipity networks. Results. Four dominant motifs were detected: the exchange motif, the solo motif, the collaboration motif, and the chain motif. Each motif displayed distinct interaction and attribute patterning. Conclusions. The motif findings provide theoretical justification for the concept of normative interaction patterns in serendipity and support ideas relating to the importance of people and information in serendipity.

Item Type: Article
Subjects : Library & Learning support
Divisions : Library and Learning Support
Authors :
McBirnie, A
Urquhart, C
Date : 26 September 2011
Copyright Disclaimer : Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)
Related URLs :
Additional Information : Full text not available from this repository.
Depositing User : Symplectic Elements
Date Deposited : 12 Jul 2016 13:19
Last Modified : 31 Oct 2017 18:26

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800