Can I read Modeling Evolving Innovation Networks on EtoBox?

Modeling Evolving Innovation Networks by Koenig, Michael D.; Battiston, Stefano; Schweitzer, Frank is a scholarly article available to read on EtoBox.

What is Modeling Evolving Innovation Networks about?

We develop a new framework for modeling innovation networks which evolve over time. The nodes in the network represent firms, whereas the directed links represent unilateral interactions between the firms. Both nodes and links evolve according to their own dynamics and on different time scales. The model assumes that firms produce knowledge based on the knowledge exchange with other firms, which involves both costs and benefits for the participating firms. In order to increase their knowledge production, firms follow different strategies to create and/or to delete links with other firms. Dependent on the information firms take into account for their decision, we find the emergence of different network structures. We analyze the conditions for the existence of these structures within a mathematical approach and underpin our findings by extensive computer simulations which show the evolution of the networks and their equilibrium state. In the discussion of the results, particular attention is given to the emergence of direct and indirect reciprocity in knowledge exchange, which refers to the emergence of cycles in the network structure. In order to motivate our modeling framework, in

Author

Koenig, Michael D.; Battiston, Stefano; Schweitzer, Frank

Published

2007

Language

EN