For further insight, modularity analysis was performed. The modularity value of a network is a number between zero and one. Zero indicates that the network has no discernible community structure: its pattern of linking is indistinguishable from that generated by a random process. High values indicate a pattern of linking that is unlikely to be random. The reduced network of Figure 2 is highly modular (Q = 0.72), which means it resolves quite naturally into a number of communities of codes, six in our case. Figure 3 shows the same network as Figure 2, but this time codes and edges are color-coded according to the community of codes they are part of, as detected by the Louvain algorithm (Blondel et al 2008).
An ethnography of CE in the automotive industry (1st version)
Authors: Veronica Davidov, Alberto Cottica (Edgeryders), 31/08/2022
Figure 3. Modularity analysis of the network of Figure 2. The network resolves quite naturally into seven communities of codes, coded by color.
The green codes are related to pros and cons of electronics in cars
The red codes are related to materiality and the circular economy
The pink codes are related to personal expertise networks
The dark green codes are related to deliberation/consideration by drivers
The yellow codes are related to data sharing and surveillance
The blue codes are related to systemic consideration of sustainability (batch 1)
The orange codes are related to systemic consideration of sustainability (batch 2)