Quantitative Analysis Academic Evaluation Based on Attenuation-Mechanism

The citation-based measure is known unpredictable. However, it is used quite often in the cases when quantitatively evaluating the academic impact is required. With the development of social networks, it is natural to ask the question: is there any trustworthy model which is able to provide quantitatively analysis of the academic impact with a huge amount of relevant information instead of peer-review only before the prevalence of social media? Many efforts have been devoted to provide the standard academic evaluation indicators, but they are either inadequate to be fully qualified or unable to become the universal applicable measure. In this paper, we propose a systematic approach, named Attenuation Mechanism, to quantitatively analysis the academic evaluation based on four estimated factors. It would bring new insights into how the academic impact takes place and the influence it has (either short term or long term). The extensive experiments on real academic search datasets show that the proposed model can perform significantly better than the baseline models in different areas and different disciplines.