Media has important influence on the dissemination of knowledge in time and space. The current academic evaluation system originated and developed in the paper media environment supported by printing, and has played a positive role in the development of science and technology. However, with the development of network technology, its limitations are becoming more and more prominent. The closeness in the process of academic publishing forms a sharp contradiction with the openness and interaction of the network. As the main subject of academic production, the rights of academic community fall aside, and publishers become the center of the academic ecosystem. Blockchain has the characteristics of non forgeability, leaving traces in the whole process, traceability, openness and transparency, collective maintenance, etc., and has broad application prospects. In the academic field, there are many blockchain application platforms abroad. Taking Scienceroot as an example, this paper analyzes the characteristics and weaknesses of block chain academic network platform in private field. Scienceroot operates based on Science Token, which integrates scientific research collaboration, funding and publishing, academic evaluation and trading. It is a new academic ecosystem based on network and scientific researchers. In the system, academic evaluation has the following characteristics:first, it is disintermediated, the range of evaluation experts is wider, the matching is more accurate and flexible, the author can participate in it, the evaluation process is open and transparent, and the labor of evaluation experts can be confirmed and encouraged; second, the object of evaluation may be either mature achievements or just scientific research topics; third, the combination of peer review and quantitative evaluation, content evaluation and influence evaluation. Although the platform has built a new academic ecosystem, for the platform was founded by technology enterprises, it also has some problems, such as the contradiction between the profit seeking nature of capital and the publicity of academic products, the unclear fairness and recognition of evaluation, and the operation efficiency of public chain.
In addition to being used by private publishing publishers or technology enterprises, blockchain may also be used by academic research institutions such as public universities, where the real value lies. In this field, the academic network platform based on blockchain can realize the virtual reconstruction of academic community. Through online academic institution alliance or discipline alliance, the academic community can truly participate in academic cooperation and academic production and exercise the right of academic evaluation. This academic ecosystem is dominated by the academic community, and multiple subjects participate in evaluation and exchange. Incentive mechanism can recognize and reward experts' peer review, and encourage them to participate in it more actively. The consensus mechanism enables the evaluation mechanism to be generally recognized by the academic community. Smart contract helps to encourage cooperation among scientific researchers and promote the market transformation of scientific research achievements. On the one hand, this academic ecosystem not only retains the advantages of the Scienceroot platform in the private field, but also effectively avoids the impact of the profit seeking nature of capital on the publicity of academic products, which is conducive to breaking the excessive intervention of bureaucratic administrative organizations in academic evaluation and reducing academic privileges and academic rent-seeking behavior On the other hand, based on the consensus of academic peers, this evaluation can be widely recognized by academic institutions in the alliance and quickly break the publishing centered academic evaluation system. Although blockchain is of positive significance to the reform of academic evaluation system, due to the limitations of blockchain technology itself, how to solve the problems of accounting node risk and operation efficiency in practice still needs to be deeply studied and discussed.