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bution of frequencies for each journal pair. We could then evaluate the z-score for
each observed journal pair relative to what was expected by chance:
z obs=
( exp)/- σ
Where obs is the observed frequency of the journal pair in the actual WOS while exp
is the mean and σ is the standard deviation of the number of journal pairs obtained
from the 10 randomized simulations of the paper-to-paper citation network.
Finally, returning to categorizing a paper’s prior work regarding novelty and con-
ventionality, we could then assign a z-score to each of the journal pairs in that
paper’s reference list. Each paper thus had a distribution of journal pairings, where
any given pairing could be more or less common compared to chance. To summa-
rize the information in this distribution, we took two primary summary statistics:
(i) The median z-score for that paper.
(ii) The 10th percentile z-score for that paper.
Fig. 12.1 Paper pairs and journal pairs. This figure presents a stylized example of how paper pairs
and journal pairs are drawn from the network structure of citations. In panel A, the circular nodes
represent papers; the directed links exist when the top paper cites the bottom four papers. In panel
B, the circular nodes represent papers, and the undirected co-citation links between papers are
shown in black. A co-citation exists between each pair of papers that occurs in the reference list of
the focal paper. Here, there are 4 references and therefore 6 (i.e., 4 choose 2) co-citation links. In
panel C, paper nodes are grouped by journal; the shaded ovals represent the three journals in which
each of the cited papers is published. Finally, in panel D, the co-citation links between papers are
mapped to the journal level, and the black links represent journal co-citations. Note that the total
number of paper-to-paper co-citation links (6) is preserved at the journal co-citation level (From
Uzzi et al. (2013b, p. 10). Copyright 2013 by Science. Adapted with permission from the authors
and Science) S. Mukherjee et al.
back to the
book Knowledge and Networks"
Knowledge and Networks
- Title
- Knowledge and Networks
- Authors
- Johannes Glückler
- Emmanuel Lazega
- Ingmar Hammer
- Publisher
- Springer Open
- Location
- Cham
- Date
- 2017
- Language
- German
- License
- CC BY 4.0
- ISBN
- 978-3-319-45023-0
- Size
- 15.5 x 24.1 cm
- Pages
- 390
- Keywords
- Human Geography, Innovation/Technology Management, Economic Geography, Knowledge, Discourse
- Category
- Technik