Evolution and structure of technological systems : An innovation output network
(2018) In ARXIV- Abstract
- This study examines the network of supply and use of significant innovations across industries in Sweden, 1970-2013. It is found that 30% of innovation patterns can be predicted by network stimulus from backward and forward linkages. The network is hierarchical, characterized by hubs that connect diverse industries in closely knitted communities. To explain the network structure, a preferential weight assignment process is proposed as an adaptation of the classical preferential attachment process to weighted directed networks. The network structure is strongly predicted by this process where historical technological linkages and proximities matter, while human capital flows and economic input-output flows have conflicting effects on link... (More)
- This study examines the network of supply and use of significant innovations across industries in Sweden, 1970-2013. It is found that 30% of innovation patterns can be predicted by network stimulus from backward and forward linkages. The network is hierarchical, characterized by hubs that connect diverse industries in closely knitted communities. To explain the network structure, a preferential weight assignment process is proposed as an adaptation of the classical preferential attachment process to weighted directed networks. The network structure is strongly predicted by this process where historical technological linkages and proximities matter, while human capital flows and economic input-output flows have conflicting effects on link formation. The results are consistent with the idea that innovations emerge in closely connected communities, but suggest that the transformation of technological systems is shaped by technological requirements, imbalances and opportunities that are not straightforwardly related to other proximities. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1e841135-2c41-4a07-914d-0590b1df3b83
- author
- Taalbi, Josef LU
- organization
- publishing date
- 2018
- type
- Other contribution
- publication status
- published
- subject
- keywords
- Innovation, Network evolution, Technological systems
- in
- ARXIV
- issue
- 1811.06772v1
- publisher
- arXiv.org
- language
- English
- LU publication?
- yes
- id
- 1e841135-2c41-4a07-914d-0590b1df3b83
- alternative location
- https://arxiv.org/pdf/1811.06772.pdf
- date added to LUP
- 2018-11-17 18:30:30
- date last changed
- 2023-09-07 11:45:19
@misc{1e841135-2c41-4a07-914d-0590b1df3b83, abstract = {{This study examines the network of supply and use of significant innovations across industries in Sweden, 1970-2013. It is found that 30% of innovation patterns can be predicted by network stimulus from backward and forward linkages. The network is hierarchical, characterized by hubs that connect diverse industries in closely knitted communities. To explain the network structure, a preferential weight assignment process is proposed as an adaptation of the classical preferential attachment process to weighted directed networks. The network structure is strongly predicted by this process where historical technological linkages and proximities matter, while human capital flows and economic input-output flows have conflicting effects on link formation. The results are consistent with the idea that innovations emerge in closely connected communities, but suggest that the transformation of technological systems is shaped by technological requirements, imbalances and opportunities that are not straightforwardly related to other proximities.}}, author = {{Taalbi, Josef}}, keywords = {{Innovation; Network evolution; Technological systems}}, language = {{eng}}, number = {{1811.06772v1}}, publisher = {{arXiv.org}}, series = {{ARXIV}}, title = {{Evolution and structure of technological systems : An innovation output network}}, url = {{https://arxiv.org/pdf/1811.06772.pdf}}, year = {{2018}}, }