A cluster algorithm for graphs
A cluster algorithm for graphs
Recombinant Uncertainty in Technological Search
Management Science
Using the patent co-citation approach to establish a new patent classification system
Information Processing and Management: an International Journal
Citation Analysis in Research Evaluation (Information Science & Knowledge Management)
Citation Analysis in Research Evaluation (Information Science & Knowledge Management)
Graphs over time: densification laws, shrinking diameters and possible explanations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Complexity Explained
Patent classifications as indicators of intellectual organization
Journal of the American Society for Information Science and Technology
A new approach for detecting scientific specialties from raw cocitation networks
Journal of the American Society for Information Science and Technology
Small Worlds and Regional Innovation
Organization Science
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis
Journal of the American Society for Information Science and Technology
Hi-index | 0.00 |
The network of patents connected by citations is an evolving graph, which provides a representation of the innovation process. A patent citing another implies that the cited patent reflects a piece of previously existing knowledge that the citing patent builds upon. A methodology presented here (1) identifies actual clusters of patents: i.e., technological branches, and (2) gives predictions about the temporal changes of the structure of the clusters. A predictor, called the citation vector, is defined for characterizing technological development to show how a patent cited by other patents belongs to various industrial fields. The clustering technique adopted is able to detect the new emerging recombinations, and predicts emerging new technology clusters. The predictive ability of our new method is illustrated on the example of USPTO subcategory 11, Agriculture, Food, Textiles. A cluster of patents is determined based on citation data up to 1991, which shows significant overlap of the class 442 formed at the beginning of 1997. These new tools of predictive analytics could support policy decision making processes in science and technology, and help formulate recommendations for action.