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评价长期科学影响的模型

  • 索琪 ,
  • 郭进利 ,
  • 索琪 ,
  • 郭进利
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  • 1.上海理工大学管理学院,上海 200093;
    2.青岛科技大学经济与管理学院,山东 青岛 266061
索琪(1980-),女,黑龙江哈尔滨人,博士研究生,讲师,主要研究方向为复杂网络、超网络。

收稿日期: 2015-05-07

  网络出版日期: 2025-02-25

基金资助

国家自然科学基金(71571119);国家统计科学研究项目(2015LZ497);山东省统计科研重点课题(KT15059)

A Model to Quantify Long-term Scientific Impact

  • SUO Qi ,
  • GUO Jinli ,
  • SUO Qi ,
  • GUO Jinli
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  • 1. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;
    2. School of Eeconomics and Management, Qingdao University of Science and Technology, Qingdao 266061, China

Received date: 2015-05-07

  Online published: 2025-02-25

摘要

提出了一个更合理的量化长期科学影响模型,并获得模型的解析结果。论文在生命周期内的总引用次数代表了其长期的科学影响,结果显示,该值只与其适应度有关。说明论文本身的内容、质量代表了其竞争力的大小,决定了其长期影响力。

本文引用格式

索琪 , 郭进利 , 索琪 , 郭进利 . 评价长期科学影响的模型[J]. 复杂系统与复杂性科学, 2016 , 13(1) : 64 -67 . DOI: 10.13306/j.1672-3813.2016.01.005

Abstract

We propose a model to quantify long-term scientific impact and obtain analytic results of the model. It is more reasonable than the model proposed by Barabási et al. The total citation count of a paper in its life cycle represents its long-term scientific impact. The results show that the value is only related to the paper’s fitness. It means that the content and the quality of the paper represents, the capability of its competitiveness, and determine its long-term impact.

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