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In the information science literature, recent studies have used patentdatabases and patent classification information to construct network maps ofpatent technology classes. In such a patent technology map, almost all pairs oftechnology classes are connected, whereas most of the connections between themare extremely weak. This observation suggests the possibility of filtering thepatent network map by removing weak links. However, removing links may reducethe explanatory power of the network on inventor or organizationdiversification. The network links may explain the patent portfoliodiversification paths of inventors and inventing organizations. We measure thediversification explanatory power of the patent network map, and present amethod to objectively choose an optimal trade-off between explanatory power andremoving weak links. We show that this method can remove a degree ofarbitrariness compared with previous filtering methods based on arbitrarythresholds, and also identify previous filtering methods that created filtersoutside the optimal trade-off. The filtered map aims to aid in networkvisualization analyses of the technological diversification of inventors,organizations and other innovation agents, and potential foresight analysis.Such applications to a prolific inventor (Leonard Forbes) and company (Google)are demonstrated.

Filtering Patent Maps for Visualization of Diversification Paths of Inventors and Organizations