In order to understand how managers perceive, process and interpret network capability, we guided the management teams of five industrial suppliers through a novel five-step process of introducing, identifying, critically screening, challenging and verifying the capabilities of the firm.
Another network also is employed to interpret network-based mud loss results qualitatively.
We also show how the interpreted network leads to a simpler and more accurate logic description of the experimental data.
Figure 11 Example interpreted network where the nodes are coloured as: red (solid) = ACTIVATING, pink (dashed) = ACTIVITY IDENTIFIED, orange (dot – dash) = DEACTIVATED, green (solid) = DEACTIVATING.
In this context, we have interpreted network metrics as indicators of the relational capital of innovation ecosystems: Profile, Engagement, Relational Potential, Vitality, Linking Factor, and Embeddedness.
This highlights the importance of interpreting network measures within a functional context.
This would provide valuable contextual information for mapping the formal clinical reporting process, and interpreting network diagrams and meaning of centrality indicators.
In comparison, other algorithms exploited the relatively more comprehensive criteria: MCODE applied the network partitioning based on the density of k-cores [ 11]; CFinder interpreted network modules as unions of all adjacent k-cliques [ 12]; DPClus identified subgraphs that satisfied certain cluster density and connectivity properties [ 13].
In summary, we interpret influence networks as an unambiguous, restricted class of mass action chemical reaction networks, in a way that is not too far from common practice because it is based on an explicit mechanism that yields Hill functions.
The data we have obtained can be employed to predict and interpret regulatory networks, nodal points, and gene interactions shaping the mammalian face [55], [73].
