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感知、声望和 PageRank。

Perception, prestige and PageRank.

机构信息

Institute of Social and Cultural Anthropology, School of Anthropology and Museum Ethnography, University of Oxford, Oxford, United Kingdom.

Digital Science, London, United Kingdom.

出版信息

PLoS One. 2019 May 28;14(5):e0216783. doi: 10.1371/journal.pone.0216783. eCollection 2019.

Abstract

Academic prestige is difficult to quantify in objective terms. Network theory offers the opportunity to use a mathematical formalism to model both the prestige associated with an academic and the relationships between academic colleagues. Early attempts using this line of reasoning have focused on intellectual genealogy as constituted by supervisor student networks. The process of examination is critical in many areas of study but has not played a part in existing models. A network theoretical "social" model is proposed as a tool to explore and understand the dynamics of prestige in the academic hierarchy. It is observed that such a model naturally gives rise to the idea that the prestige associated with a node in the graph (the prestige of an individual academic) can be viewed as a dynamic quantity that evolves with time based on both local and non-local changes in the properties in the network. The toy model studied here includes both supervisor-student and examiner-student relationships. This gives an insight into some of the key features of academic genealogies and naturally leads to a proposed model for "prestige propagation" on academic networks. This propagation is not solely directed forward in time (from teacher to progeny) but sometimes also flows in the other direction. As collaborators do well, this reflects well on those with whom they choose to collaborate and those that taught them. Furthermore, prestige as a quantity continues to be dynamic even after the end of a relationship or career. Given that time ordering of relationships on the network are implicit but that measures such as betweenness are independent of this implicit time dependence: the success of a PhD student later in their career can improve the prestige of their doctoral supervisor. Thus, prestige can be interpreted to have dynamics that flow both forward and backward in time.

摘要

学术声誉很难用客观的术语来量化。网络理论提供了一种机会,可以使用数学形式主义来对与学术相关的声誉以及学术同事之间的关系进行建模。早期使用这种推理方法的尝试集中在由导师-学生网络构成的知识谱系上。审查过程在许多研究领域都很关键,但在现有的模型中没有发挥作用。本文提出了一种网络理论的“社会”模型,作为探索和理解学术等级制度中声誉动态的工具。可以观察到,这样的模型自然会产生这样的想法,即图中的节点(单个学术人员的声誉)所关联的声誉可以被视为一个动态数量,它根据网络中属性的局部和非局部变化随时间演变。这里研究的玩具模型包括导师-学生和考官-学生的关系。这为学术谱系的一些关键特征提供了一些见解,并自然导致了一个关于学术网络上“声誉传播”的拟议模型。这种传播不仅是时间上的正向传播(从老师到后代),有时也会向相反方向传播。由于合作者表现出色,这反映了与他们合作的人以及教导他们的人。此外,即使在关系或职业生涯结束后,声誉作为一个数量仍然是动态的。鉴于网络上的关系时间顺序是隐含的,但诸如中间中心性等度量与这种隐含的时间依赖性无关:博士生后来在职业生涯中的成功可以提高他们的博士导师的声誉。因此,可以将声誉解释为具有向前和向后流动的动态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9745/6538150/507afb72b85d/pone.0216783.g001.jpg

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