<  Back to the Polytechnique Montréal portal

Competence maps using agglomerative hierarchical clustering

Ahmad Barirani, Bruno Agard and Catherine Beaudry

Article (2013)

Open Access document in PolyPublie
Open Access to the full text of this document
Accepted Version
Terms of Use: Creative Commons Attribution Non-commercial No Derivatives
Download (599kB)
Show abstract
Hide abstract


Knowledge management from a strategic planning point of view often requires having an accurate understanding of a firm's or a nation's competences in a given technological discipline. Knowledge maps have been used for the purpose of discovering the location, ownership and value of intellectual assets. The purpose of this article is to develop a new method for assessing national and firm-level competences in a given technological discipline. To achieve this goal, we draw a competence map by applying agglomerative hierarchical clustering on a sample of patents. Considering the top levels of the resulting dendrogram, each cluster represents one of the technological branches of nanotechnology and its children branches are those that are most technologically proximate. We also assign a label to each branch by extracting the most relevant words found in each of them. From the information about patents inventors' cities, we are able to identify where the largest invention communities are located. Finally, we use information regarding patent assignees and identify the most productive firms. We apply our method to the case of the emerging and multidisciplinary Canadian nanotechnology industry.

Uncontrolled Keywords

Knowledge mapping, Innovation, Citation networks analysis, Data mining, Agglomerative hierarchical clustering, Vector space model, Nanotechnology

Subjects: 1600 Industrial engineering > 1600 Industrial engineering
Department: Department of Mathematics and Industrial Engineering
PolyPublie URL: https://publications.polymtl.ca/2312/
Journal Title: Journal of Intelligent Manufacturing (vol. 24, no. 2)
Publisher: Springer
DOI: 10.1007/s10845-011-0600-y
Official URL: https://doi.org/10.1007/s10845-011-0600-y
Date Deposited: 03 Oct 2016 11:49
Last Modified: 06 Apr 2024 11:30
Cite in APA 7: Barirani, A., Agard, B., & Beaudry, C. (2013). Competence maps using agglomerative hierarchical clustering. Journal of Intelligent Manufacturing, 24(2), 373-384. https://doi.org/10.1007/s10845-011-0600-y


Total downloads

Downloads per month in the last year

Origin of downloads


Repository Staff Only

View Item View Item