How can innovation economics benefit from complex network analysis?

There is a deficit in economics of theories and empirical data on complex networks, though mathematicians, physicists, biologists, computer scientists, and sociologists are actively engaged in their study. This paper offers a focused review of prominent concepts in contemporary thinking in network research that may motivate further theoretical research and stimulate interest of economists. Possible avenues for modelling innovation, considered the driving force behind economic change, have been explored. A transition is needed from the analysis in economics of the transaction to the explicit examination of market structure and how it processes, or is processed by, innovation.Network; statistics; economy; innovation; modelling

Competitive intelligence and network mapping of interfirm alliances

In many industries, networks, rather than firms, have become the organizing level at which firms compete with each other. One role of competitive intelligence is to help firms understand their global environment as well as master their position in a number of industrial sectors. The pertinence of a firm strategy and position in the different segments it is involved in, can be analyzed by mapping the complex alliance networks that characterize industries today. These tools enable also a tech watch of individual, highly innovative, sectors as well as understand the links between countries and the positions of the nations themselves in the global environment.Alliance, network, mapping, biotechnology, competition