New publication by our colleagues
A new paper by our colleagues explores patent networks that can help identify emerging technologies.

With the rise of "Big Data", the bottleneck in predictive science is not finding relevant data, but how to interpret them. Patents are a key indicator of human technological progress. Studying patent databases can reveal patterns in technological development that can be used in decision-making, for example in resource allocation.

Patents are linked by references, so they also create links between the technology categories to which the patents belong. This network can be understood as a kind of intellectual ecology, which can be used for mathematical analyses similar to numerical ecology. In their recent paper, our colleagues used the non-metric Bray-Curtis dissimilarity to describe the internal dynamics of the patent network.

The article was co-authored with colleagues at the University of Debrecen, published in the Journal of Big Data and is available at this link.


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