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ness centrality. It is worth mentioning them by name: Benny Goodman, Henry
“Red” Allen, Sidney Bechet, Don Byas, and Woody Herman. These are founders
of swing music who were able to survive in the network. In contrast to Louis
Armstrong, who knew how to reposition himself at the core, these players
remained on the outskirts of the core. Although not always in the core spotlight,
recording with these players was just as coveted as playing with Elite
musicians.
Cluster 6: Up-Starters. This is the second largest group (725 musicians), with an
average lifespan similar to Shooting Stars. However, their average betweenness
and membership in the core are low (0.13 and 0.21, respectively), higher only
than the Wanna-be cluster. I identified important musicians in this cluster, includ-
ing the likes of Dave Brubeck and Quincy Jones. Nonetheless, this may indicate
that musicians who were commercially successful were not necessarily active at
the core of the jazz community during their heyday.
I would like to point out some potential issues with the Elite and Shooting Stars
clusters. Both groups spent an average 60 % of their lifespans in the core, a statistic
that suggests the existence of different generations. Failure to distinguish between
generations might lead to poorer comprehension of the trajectory of different musi-
cians. For this reason, I split these two clusters into two generations using a 2-mode
faction search. The Elite first generation spans from 1930 to 1944 (Cluster 31), while
the second generation spans from 1945 to 1969 (Cluster 32). The Shooting Star first
generation runs from 1930 to 1949 (Cluster 41), while the second generation runs
from 1950 to 1969 (Cluster 42). See Table 8.3 for descriptive statistics on these new
clusters. Table 8.4 summarizes the evolution of musicians by each trajectory type.
Blockmodeling the Jazz Field
In order to obtain a topology of the jazz field structure over time, I applied a block-
modeling approach from the social networks analysis tradition. The use of block-
modeling has become widespread in organizational research. DiMaggio (1986) was
Table 8.3 Clusters Obtained by Splitting Elite and Shooting Star Groups
Clusters
Key trajectory variables 31 32 41 42
Average betweenness centrality 1.29 0.84 0.51 0.52
Lifespan (periods) 7.14 6.41 3.74 3.94
Periods at the core 4.00 3.84 2.15 2.30
Number of individuals 22 49 39 89
Note. Cluster 3 (Elite) split into first generation (1930–1944) Cluster 31 (Elite-1) and second gen-
eration (1945–1969) Cluster 32 (Elite-2). Cluster 4 (Shooting Star) split into first generation
(1930–1949) Cluster 41 (Shooting Star-1) and second generation (1950–1969) Cluster 42
(Shooting Star-2). (Design by the author) C. Kirschbaum
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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