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178 Capturing Cluster’s Topology with Prespecified Block-Modeling We used prespecified blockmodeling to gain a synthetic view of the structural evo- lution of IMAST collaboration network (Fig. 9.1). Blockmodeling is a type of clus- tering for relational data intended to reduce complex networks into simpler graphs, with nodes representing groups of equivalent actors (positions) and ties represent- ing the relation between positions (roles) (see Ferligoj, Doreian, & Batagelj, 2011; Wasserman & Faust, 1994). These reduced graphs (also called images) are used in this study to facilitate synthetic visualization of the overall topology of the IMAST collaboration network and its evolution. To reduce a complex network into its image, a single node subsumes similar actors if they are equivalent. This study uses the definition of structural equivalence to reduce IMAST collaboration networks. Actors are considered equivalent if their pat- tern of ties to and from alters is identical (Lorrain & White, 1971). In practice, when structural equivalence is used, the network matrix is permuted to form either null or Fig. 9.1 Energized graphs by structural-hole measures of collaboration networks in selected years (2006, 2009, 2011, 2013). Nodes represent the IMAST’s associated members and external part- ners; line lengths = dyadic constraint; node size = aggregate constraint; node shape = IMAST’s associated member (circle), partner (triangle); node color: firm (gray), research institution (black), other organizations (white), and external partner (yellow) (Source: Authors’ elaborations based on R&D collaboration within the technological district) L. Prota et al.
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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
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Knowledge and Networks