This research aimed to analyze the properties and typologies of a biotechnology sector network with regard to their relationships, attributes and performance in research and production of innovations. For this purpose, it had as its empirical field the Northeast Biotechnology Network, using patent reports produced by the network as a data source. In order to track the relationship networks between members, groups, institutions and projects, social networking analysis tools were used, making it possible to construct relationship matrices between the laboratories and companies and, lastly, researchers. In total, 117 researchers were identified, distributed among 18 research centers and 47 laboratories or companies. Their projects are distributed across three main areas: agriculture, industrial and health, the latter being the strongest of the three with more patents produced and more institutions involved in research. The weak density presented by the network, at all analysis levels, strengthens the necessity for integration strategies. Also, it indicates the possibility for new relationships between agents that are still isolated. However, it does not diminish its importance for economic development in the region in which it operates.
innovation; social networks; biotechnology; patent reports; Northeast Biotechnology Network
