By Andreas Pyka, Visit Amazon's Andrea Scharnhorst Page, search results, Learn about Author Central, Andrea Scharnhorst,
The technology of graphs and networks is now a longtime software for modeling and interpreting platforms with plenty of interacting parts. The contributions to this anthology handle various elements of the connection among innovation and networks.
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Extra resources for Innovation Networks: New Approaches in Modelling and Analyzing (Understanding Complex Systems)
Since variety only measures the number of nodes, the addition of connectivity, based on the interactions of the components of the system, provides us with a more complete analysis of the evolution of the complexity of a socio-economic system. This contribution is much more speculative than definitive, concentrating on possible generalizations of the role and dynamics of socio-economic systems. A considerable amount of further work will be required to test and articulate the propositions suggested in this contribution.
3) In the second exercise, we analyse collaboration intensity between NUTS3 regions, where we use the logarithm of geographical distance in kilometres, where geographical distance DISTANCE i j is calculated between the central points of the regions (as the crow flies) using maps made available by the European Spatial Planning Observation Network (ESPON). In addition, we specify institutional proximity by a dummy COUNTRY i j which takes on a value of 1 for two regions belonging to the same country and 0 otherwise.
Another property whose role has already been discussed is connectivity. We have already seen how we can expect connectivity to rise or to fall during the evolution of networks. The meaning of this property will be discussed in greater detail in the next section. 3 Examples of Knowledge Networks In what follows three examples of knowledge-related networks will be discussed: (i) The network of knowledge itself, which will be presented only conceptually but which will provide a good basis for the subsequent discussion.