Published on February 16, 2014
Adding and ﬁnding meaning in case-by-case network-graphs of interviews Frank van der Most ! e-Humanities group and DANS ! New Trends in e-Humanities, 31 October 2013 1
What does it mean? !2
A practical research problem ✦ ± 50 interviews •Fairly structured •transcribed and coded ✦ Interested in a sub-set (27), on a sub-topic, viz. informal evaluations ✦ How to get an overview? ✦ Okay, let’s try visualizing instead of reading !3
The raw material ✦ Interviewee info: date of birth, date of PhD, CV-events ✦ 3 Most important developments + 3 most inﬂuential evaluations •Event code + Event-code group •Info about event: period, country, afﬁliation summary ✦ Coded interview transcriptions •Importance •Micro-stories !4
Tuesday, 13:47 6 Interviewees Importance
Tuesday 14:40 10 Interviewees Importance Micro-stories
Tuesday 16:33 20 Interviewees Importance
Does a table work better? Importance count importance>long_term_stability 8 importance>family 6 importance>doing_research 6 importance>academia_or_not_question 5 importance>enjoying_one_s_work 5 importance>having_the_necessary_skills_or_qualiﬁcations 4 importance>mobility 4 importance>personal_achievement 4 importance>societal_impact 4 importance>academic_standing 4 importance>contacts_or_network 3 Yes for quantitative overview, still no for qualitative
Recap, what can we see and what it means Tim e/ sp ac e it y ar co n ne cti o E nt ve ns cror mi ce o r tan o ities Imp ilar sim t or y s il sim pe -ty
What we can not see (but may read) ✦ Time dimension ✦ interviewee info and ✦ Geography ✦ Relations between ‘importance’ and ‘microstories’ !41
Relations between ‘importance’ and ‘micro-stories
Thank you for your attention io t s e u Q ? s n Com m en t s ? www.frankvandermost.nl !44
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