A Descriptive Profile of Process in Serendipity
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A Descriptive Profile of Process in Serendipity A Narrative and Network Study of Information Behaviour in Context Abigail McBirnie Department of Information Studies Aberystwyth University Submitted in partial fulfilment of the requirements of the Degree of Doctor of Philosophy 2012 Recommended citation: McBirnie, A. (2012). A Descriptive Profile of Process in Serendipity: A Narrative and Network Study of Information Behaviour in Context, PhD thesis, Aberystwyth University, Aberystwyth. BIBTEX version: @phdthesis{mcbirnie12aber, author = {Mc{B}irnie, Abigail}, year = {2012}, title = {A Descriptive Profile of Process in Serendipity: A Narrative and Network Study of Information Behaviour in Context}, type = {Ph{D} thesis}, school = {Aberystwyth University}, address = {Aberystwyth} note = {Includes a supplementary volume} } Declaration This work has not previously been accepted in substance for any de- gree and is not being concurrently submitted in candidature for any degree. Signed . 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That if, as a result of my having knowingly or recklessly given a false statement at points 1, 2, 3 or 4 above, the University or the National Library of Wales suffers loss, I will make good that loss and indemnify Aberystwyth University and the National Library of Wales for all actions, suits, proceedings, claims, demands and costs occasioned in consequence of my false statement. Signed . (candidate) Date .............................................................. Abstract This research describes information behaviour in context: exper- iences of serendipity in research. The study contributes to the un- derstanding of serendipity as a complex phenomenon by looking at process in serendipity through a relational, phenomenological and so- ciological lens. The research asks: what linked events of doing and happening do people recount when they talk about their experiences of serendipity? and, how do they make sense of the circumstances surrounding these events? The research investigates a sample of fifty first-person narratives of lived experiences of serendipity recounted in the Citation Classics online dataset. A mixed methods parallel conversion design opera- tionalises the research: one strand of the study focuses on description of contextual data, the other, on descriptions of two different event structure models. To meet its descriptive aims, the research draws on multiple methods: narrative approaches, network analysis and stat- istical techniques, including network topology inference and motif de- tection. A descriptive profile of process in serendipity, a portfolio, which collects the network drawings and data for the one hundred event structures modelled by the study, and a research credibility audit stand as the study's substantive outcomes. The research findings make a four-fold contribution to serendip- ity theory: they provide new insight into experiences of process in serendipity; add concrete, precise detail to fuzzy, abstract process- related serendipity constructs; highlight problems with existing the- oretical assumptions; and present evidence for normality in serendip- ity. Methodologically, the research opens alternative avenues into serendipity's complexity and brings fresh perspectives to the practice of serendipity research. Acknowledgements I am grateful to Dr Christine Urquhart, for her useful advice, readings of drafts and steady presence and guidance throughout the course of the research; to Dr Allen Foster, for his comments at earlier stages of the study and his later reviews of some drafts; to Professor Mike Thelwall, for his time and thought-provoking questions; to an expert, who, by request, shall remain unnamed, for an upsetting, yet ulti- mately, useful, fight over the network component of the research; to Dr Tony Olden, for his reassuring remarks and encouragement; to Dr Stephann Makri and his colleagues at the SerenA project, for valuable discussions and insight; to Dr Angela Winnett, for her early practical pointers on statistical aspects of the study; to Dr Eugene Garfield and Meher Mistry, for their work on establishing the online Citation Clas- sics dataset; to all in the TEX and R communities, for their time, effort and commitment to such valuable open source projects; to Professor Vladimir Batagelj, Professor Andrej Mrvar, Professor Kathleen Car- ley, Dr J¨urgenPfeffer, Florian Rasche, and Dr Sebastian Wernicke, for creating and making freely available the software tools that made the research possible; to Gregory W. Tauer, for his ever so helpful LATEX table converter; to Emma Hastings, Nina Docking, and David Lakey, for assistance with administrative aspects; to my family, for their care and interest; and to my husband, Dr Andrew McBirnie, for so many things. Stories are the moments that you didn't see coming, that are what live in you and burn in you forever. Steven Moffat, speaking on BBC Radio Five Live, 11 May 2011 Contents List of Figures xxv List of Tables xxix 1 Exposition 1 1.1 Sixty second summary . .1 1.2 Prologue to the research . .2 1.2.1 A problematic keyword . .2 1.2.2 An intriguing dataset . .3 1.2.3 Studying serendipity . .4 1.3 Serendipity . .5 1.3.1 Both a word and a pattern . .5 1.3.2 Accident and sagacity . .8 1.3.3 As sociological . .9 1.3.4 Related concepts . 11 1.4 Research overview . 13 1.4.1 Pragmatic stance . 13 1.4.2 Motivations and methodological concerns . 14 1.4.2.1 Motivations for the study . 14 1.4.2.2 Methodological concerns . 16 1.4.2.3 Significance of methodology . 18 1.4.3 Key terms . 18 1.4.3.1 Process ....................... 18 1.4.3.2 Event structure ................... 19 1.4.4 Questions and theoretical aim . 20 xiii CONTENTS 1.4.4.1 Research questions . 20 1.4.4.2 Theoretical aim . 21 1.4.5 The experiential stage . 22 1.4.6 Substantive outcomes . 22 1.4.7 Original contribution . 23 1.5 The thesis document .