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认为学术论文评价方法在引导基础研究人员行为和科研产出方面具有重要作用,故有必要制定成本合理、科学公正的评价体系。以文献[3]提出的论文推荐-传播模型为基准,通过控制评价信息中大同行和小同行的比例、评价对象的选择方法以及给推荐者赋权3个策略来优化推荐-传播模型的学术评价功能。运用仿真方法验证优化策略的有效性后,提出利用平台用户的推荐-传播行为,自动计算学术论文影响指数、质量指数和价值指数的方法,从而构建一种新的学术论文评价方法。
It is considered that the evaluation method of academic essay plays an important role in guiding the behavior of basic researchers and the output of scientific research. Therefore, it is necessary to make a reasonable and scientific evaluation system. Based on the paper recommendation-propagation model proposed in [3], this paper optimizes the recommendation-propagation model by controlling the proportion of large and small peers in evaluation information, the selection method of evaluation objects and empowering recommenders Evaluation function. After validating the effectiveness of the optimization strategy by using simulation method, this paper proposes a new method to evaluate academic papers by using the recommendation-dissemination behavior of platform users and calculating the influence index, quality index and value index of academic papers automatically.