Network Growth Process on Cross-disciplinary Data in the Data Platform

Abstract

Data are generated every moment, and new kinds of data appear one after another in the real world. In recent years, problem-solving by exchanging/combining data among different domains is one of the social demands. In the Web and Social Networking Services, many models to express the complex networks and their growth process have been proposed. However, the network model focusing on data from different domains in the data platform has not been discussed. In this study, we observed the process of network growth of cross-disciplinary data using the summarized information about data–data jacket–, and considered the dynamic change of the characteristics of the network in its growth process. From the characteristics of the dynamic network, we demonstrated several strategies as data platformers.