alliances; networks; innovation; research & development; network evolution; centrality; research and development; networks of firms; knowledge transfer
Tomasello Mario Vincenzo, Tessone Claudio Juan, Schweitzer Frank (2016), A model of dynamic rewiring and knowledge exchange in R&D networks, in Advances in Complex Systems
, 19(1-2), 1650004.
Tomasello Mario Vincenzo, Mueller Moritz, Schweitzer Frank (2014), Innovator Networks, in Professor Reda Alhajj Professor Jon Rokne (ed.), Springer, New York, 737-742.
Koenig Michael D., Tessone Claudio J., Zenou Yves (2014), Nestedness in Networks: A Theoretical Model and Some Applications, in Theoretical Economics
, 9(3), 695-752.
Tomasello Mario Vincenzo, Perra Nicola, Tessone Claudio Juan, Karsai Marton, Schweitzer Frank (2014), The role of endogenous and exogenous mechanisms in the formation of R&D networks, in SCIENTIFIC REPORTS
, 4, 5679.
Pfitzner Rene, Scholtes Ingo, Garas Antonios, Tessone Claudio Juan, Schweitzer Frank (2013), Betweenness preference: Quantifying correlations in the topological dynamics of temporal networks, in Physical Review Letters
, 110(19), 198701.
Bardoscia Marco, Luca Giancarlo, Livan Giacomo, Marsili Matteo, Tessone Claudio Juan (2013), The social climbing game, in Journal of Statistical Physics
, 151(3), 440-457.
Garas A, Schweitzer F, Havlin S (2012), A k-shell decomposition method for weighted networks, in NEW JOURNAL OF PHYSICS
, 14, 083030.
Konig MD, Tessone CJ (2011), Network evolution based on centrality, in PHYSICAL REVIEW E
, 84(5), 056108.
Konig MD, Battiston S, Napoletano M, Schweitzer F (2011), Recombinant knowledge and the evolution of innovation networks, in JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION
, 79(3), 145-164.
It is widely agreed that research and development (R&D), with itssubsequent technological innovations, is the driving force in economicgrowth. R&D activities are distributed across different economic actors,notably firms, which interact in many ways, e.g. through collaboration orknowledge transfer. Using a conceptual network approach, these firmscan be seen as nodes and their interactions as links of a network thatmay evolve over time, both with respect to the actors and theirinteractions. Our aim is to explain the formation of R&D networks as apurely endogenous phenomenon, emerging from the behavior of individualfirms. Many studies have been devoted to the investigation of theconsequences of a certain R&D network structure on a firm'sperformance. However, only little is known about the time evolution ofthis structure, or the antecedents of this evolution. Emphasizingtemporal aspects, this proposal focuses both on the relationship betweenthe structure of an R&D network and its performance, on an individualfirm and aggregate industry level, and on the dynamics of networkcreation and evolution. In the project we study, first, how the behavior of firms affects thetypes of networks that emerge at the aggregate level and, second, how afirm's position in the network affects its knowledge productivity andperformance. A distinctive feature of this proposal, the analysis of theevolution of R&D networks is carried out both on an empirical and on atheoretical level. The empirical analysis will allow us to identifyspecific firm and network characteristics that can serve as thefoundation and benchmark for realistic models of R&D networks. Thetheoretical approach aims at developing such a realistic model to explainthe architecture and formation of the network as well as the productivityof the firms embedded in the network. The joint analysis shall point atpractical implications for policies to foster the innovativeness of anR&D intensive industry in which firms exchange knowledge through R&Dcollaborations.