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Fig. 9.4 Image matrices of IMAST collaboration networks over time. Black cells represent com-
plete blocks; white cells represent null blocks; numbers indicate inconsistencies between observed
and expected ties (Source: Authors’ elaborations based on patterns of R&D collaboration within
the technological district)
they included only a few organizations linked by strong collaborative ties involving
all other clusters (all the blocks on the associated rows and columns are complete).
These key bridging cores had ties spanning all the other research units and played
the role of pivots for the whole collaboration network.
Finally, the number of positive ties in null blocks signals that individual broker-
age was occurring. Figure 9.4 shows that there was a systemic and generalized
increase in this type of inconsistency over time. In 2013, inconsistencies spread
across full rows and columns in correspondence with cores. This pattern suggests
that a single organization acted as a broker linking more cores, as if it were a bridg-
ing core embedded within another type of core. Examples are provided by blocks
(1;1), (2;2) and (3;3) in 2013 whose associated rows and columns present a signifi-
cant number of inconsistencies.
To verify this substantive interpretation of the results further, blockmodeling par-
titions are fitted onto the original network data. In Fig. 9.5, the observed collabora-
tion networks in selected years (2007, 2009, 2011, 2013) are shown by means of
blockmodeling partitions.
The changes that occurred within the main cohesive core can be appreciated in
Fig. 9.5. Whereas in 2007 all cores were exclusively connected to the bridging core
(block (4;4)), in 2013 a large group of local organizations was right in the middle of
the graph (red nodes in Figure 9.5, diagonal block 3;3 in Figure 9.4) and was linked
to a number of other cores. This group fully represented the heterogeneity of knowl-
edge bases in IMAST: firms from the defense, aeronautics, maritime, transport,
aerospace, and automotive industries, and public universities were all embedded
within this cluster along with private research centers and universities. L. Prota et al.
back to the
book Knowledge and Networks"
Knowledge and Networks
- Title
- Knowledge and Networks
- Authors
- Johannes GlĂĽckler
- 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