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Table 12.1 further shows the importance of normalizing the observed frequen-
cies. For example, compare the pairings (1) Nature and Journal of Climate and (2)
Nature and Monthly Weather Review. Both have similarly observed co-citation fre-
quencies in the WOS: 2720 and 2226, respectively. However, compared to chance,
the first pairing appears to have high conventionality while the second pairing seems
to have high novelty.
Null Model Detail
The null model creates random synthetic instances of the WOS while incorporating
realistic aspects of the data and its network structure. In particular, the null model
incorporates two basic empirical facts about citation patterns:
– Citation distributions are skewed. Some papers and journals are cited far more
often than other papers and journals and consequently are referenced more fre-
quently in bibliographies.
– Citation counts are dynamic processes that vary by the journal (Stringer, Sales-
Pardo, & Amaral, 2008), so that the rate at which papers accumulate citations is
journal dependent.
Keeping these facts in mind, the null model preserves for each paper in the WOS the
same number of references to past work, the same number of citations from
Table 12.1 Examples of journal pair frequencies for illustrative paper
Journal pairs Observed Expected Z-score
Mon. Weather Rev.– 28,685 68.999 3252.658
Mon. Weather Rev.
Int. Journ. of Climatology– 402 0.1 1339.667
Int. Journ. of Climatology
Nature–Journ. of Climate 2720 1392.016 47.344
Geogr. Anal.–Journ. of Clim. 3 2.199 0.743
A z-score of zero means the actual journal pair frequency is the same as expected by chance
pairings
N.Z. Journ. Geol. & Geophys.– 4 4.0 0
Journ. of Climate
Nature–Aust. Meteorol. Mag. 89 95.494 −0.915
Geogr. Anal.–Mon. Weather Rev. 2 6.192 −1.436
Nature–Geogr. Anal. 30 138.889 −8.78
Nature–Mon. Weather Rev. 2226 3779.287 −24.554
Note. Mon. Weather Rev. Monthly Weather Review, Int. Journ. of Climatology International
Journal of Climatology, Geogr. Anal. Geographical Analysis, N.Z. Journ. Geol. & Geophys. New
Zealand Journal of Geology and Geophysics, Aust. Meteorol. Mag. Austrian Meteorology
Magazine. From Uzzi et al. (2013b, p. 21). Copyright 2013 by Science. Adapted with permission
from the authors and Science
12 How Atypical Combinations of Scientific Ideas Are Related to Impact:…
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Buch Knowledge and Networks"
Knowledge and Networks
- Titel
- Knowledge and Networks
- Autoren
- Johannes Glückler
- Emmanuel Lazega
- Ingmar Hammer
- Verlag
- Springer Open
- Ort
- Cham
- Datum
- 2017
- Sprache
- deutsch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-319-45023-0
- Abmessungen
- 15.5 x 24.1 cm
- Seiten
- 390
- Schlagwörter
- Human Geography, Innovation/Technology Management, Economic Geography, Knowledge, Discourse
- Kategorie
- Technik