Research on Scientific Strategy of Google Based on Funded Papers

Science funding plays a guiding role in the development of science innovation. Enterprises influence the development of science and technology (S&T) through offering their support to various research. Thus, their development strategy in S&T can be revealed by analyzing their funded papers. Taking Google as the example, the paper proposes an analysis method of funded papers by the combination of co-word analysis, clusters analysis and social network analysis, so as to explore the strategy and collaboration preference. The total 2,162 valid bibliometric records from the Web of Science (WOS) are divided into four groups according to discipline clusters using Hierarchical Clustering Algorithm (HCA) in the study. Then social network analysis is conducted to detect the communities among keywords and institutions. The results demonstrate that the major factor of deciding the support fields that they support is the business area where the enterprises located. It can be founded that Google's development strategy in S&T not only includes the traditional areas like AI, information retrieval, data management, computer algorithm, human behaviour, and social systems, but also includes the emerging area like biological gene, ecological environment, economic phenomena forecast, economic behaviour, disease transmission trends and cancer treatment.