Berge, L., Bouveyron, C., Corneli, M., & Latouche, P. (September 2019). The Latent Topic Block Model for the Co-Clustering of Textual Interaction Data. Computational Statistics and Data Analysis, 137, 247-270. doi:10.1016/j.csda.2019.03.005 Peer Reviewed verified by ORBi |
Carayol, N., Berge, L., Cassi, L., & Roux, P. (2019). Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors. Journal of Economic Behavior and Organization, 163, 218-238. doi:10.1016/j.jebo.2018.10.009 Peer Reviewed verified by ORBi |
Berge, L., Carayol, N., & Roux, P. (2018). How do inventor networks affect urban invention? Regional Science and Urban Economics, 71. doi:10.1016/j.regsciurbeco.2018.05.002 Peer Reviewed verified by ORBi |
Berge, L. (2017). Network proximity in the geography of research collaboration. Papers in Regional Science, 96 (4). doi:10.1111/pirs.12218 Peer Reviewed verified by ORBi |
Berge, L., Scherngell, T., & Wanzenböck, I. (2017). Bridging centrality as an indicator to measure the 'bridging role' of actors in networks: An application to the European Nanotechnology co-publication network. Journal of Informetrics, 11 (4), 1031--1042. doi:10.1016/j.joi.2017.09.004 Peer reviewed |
Berge, L., Wanzenbock, I., & Scherngell, T. (2017). Centrality of regions in R&D networks: A new measurement approach using the concept of bridging paths. Regional Studies, 51 (8), 1165--1178. doi:10.1080/00343404.2016.1269885 Peer Reviewed verified by ORBi |
Berge, L., Doherr, T., & Hussinger, K. (2017). Software patents and scientific publications. In Academy of Management Proceedings, 2017 (pp. 13779). Peer reviewed |
Scherngell, T., Wanzenböck, I., & Berge, L. (2016). Bridging centrality: A new indicator to measure the positioning of actors in R&D networks. In STI conference 2016 Valencia (pp. 1106-1116). Peer reviewed |
Berge, L., Wanzenböck, I., & Scherngell, T. (2015). Centrality of regions in R&D networks: Conceptual clarifications and a new measure. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/28836. |
Berge, L., Bouveyron, C., & Girard, S. (2012). HDclassif: An R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data. Journal of Statistical Software, 46 (6). doi:10.18637/jss.v046.i06 Peer Reviewed verified by ORBi |