学术生态系统的种群模型
A Population Model for the Academic Ecosystem
摘要：
近年来，学术生态系统的作者和出版物数量大幅增长。虽然这一领域的大多数时间研究都集中在合著者和引文网络结构的演变上，但这种系统性的膨胀却很少受到关注。在本文中，我们解决这个问题，提出了一个人口模型的学术界，来自出版记录在计算机科学域。我们使用一个广义的分支过程作为一个总体框架，这使我们能够以系统的方式描述研究社区的演变和组成。此外，观察到的模式使我们能够揭示研究人员的生命周期，包括到达，学术预期寿命，活动，生产力和后代在生态系统中的分布。我们相信，这样的研究将有助于开发更好的文献计量指数，占通货膨胀，也为学术界提供可持续和有效的资源管理的见解。
英文摘要：
In recent times, the academic ecosystem has seen a tremendous growth in number of authors and publications. While most temporal studies in this area focus on evolution of co-author and citation network structure, this systemic inflation has received very little attention. In this paper, we address this issue by proposing a population model for academia, derived from publication records in the Computer Science domain. We use a generalized branching process as an overarching framework, which enables us to describe the evolution and composition of the research community in a systematic manner. Further, the observed patterns allow us to shed light on researchers' lifecycle encompassing arrival, academic life expectancy, activity, productivity and offspring distribution in the ecosystem. We believe such a study will help develop better bibliometric indices which account for the inflation, and also provide insights into sustainable and efficient resource management for academia.
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