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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 14:40
Tuesday 16:33

20 Interviewees
Importance
Tuesday 16:33
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
Wednesday, 16:19
Thursday, 11:45
Thursday, 16:30
Thursday, 16:30
Thursday, 16:30
Thursday, 16:30
Thursday, 16:30
Thursday, 16:30
Saturday, 11:53
Sunday, 19:23
Monday, 20:10
Recap, what can we see and what it means

Tim

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ac
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it y
ar

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nt
ve

ns

cror mi
ce o
r tan
o
ities
Imp
ilar
sim
t or y
s

il
sim
pe
-ty
Dominant shape
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
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www.frankvandermost.nl
!44

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