Global network evolution
This project is run by Angelika Lindstrand and has been funded by Ragnar Söderbergs Stiftelse and Handelsbankens Forskningsstiftelser. The overall aim is to investigate the global evolution of a (business) network. To study this topic, a unique dataset is used that covers the total population of Swedish biotech firms and includes firm specific, partner and linkage data for the period 2004 to 2013. Two aspects of network evolution are in focus: 1) Tie formation isomorphism, i.e. reoccurring and replicated tie formation patterns in the network; and 2) Tie formation effects on network evolution in terms of embeddedness and density. Tie formation patterns may provide resources and legitimacy but can also cause herd-like behavior due to imitation. Hence, the legitimacy that the ties provide early on may diminish and lead to less tie formation later in the process. For firms, this could reduce survival rates. For the industry, it could lead to diminishing returns in terms of innovation, commercial activity, and ultimately decline. Alternatively, tie formation patterns may change, generating new structures over time and geographical space. The project employs social network analysis to investigate these topics and will develop new algorithms to track the evolution of this multilayered network.
For further information, please contact Angelika.Lindstrand@hhs.se