Network Community-based Technological Cooperation Identification

Technological cooperation becomes necessary in extending technological application and improving market competitiveness, and thus, it is important to identify collaborative technologies that meet strategic purposes. This paper aims to construct a technological network based on the core terms derived from patent documents to help technology owners achieve such target. A four-step analytic framework is constructed, including: 1) community division, which allows the selection of cooperative technology to be controlled within a more relevant technical range; 2) indicator analysis that can be used to understand the technological situation within the community from three main aspects, i.e., degree, clustering coefficient and line weight; 3) the purpose of cooperation, which is an important basis for the selection of cooperative technology; and 4) technology selection, which is to combine cooperation purposes and indicator analysis to select technology. Finally, a case study on China's artificial intelligence (AI) technology is conducted to demonstrate the feasibility of this method, and the findings will help decision making in related AI fields.