Perception, Prestige and PageRank
David Zeitlyn, Daniel W Hook

TL;DR
This paper models academic esteem as a dynamic network quantity influenced by relationships like supervision and examination, proposing a new framework for understanding how academic reputation evolves over time.
Contribution
It introduces a novel network theoretical model incorporating examination relationships and bidirectional esteem flow, advancing the understanding of academic hierarchy dynamics.
Findings
Esteem can be modeled as a dynamic, evolving quantity in academic networks.
Esteem propagation occurs both forward and backward in time.
The model provides insights into academic genealogies and reputation flow.
Abstract
Academic esteem is difficult to quantify in objective terms. Network theory offers the opportunity to use a mathematical formalism to model both the esteem 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 esteem in the academic hierarchy. It is observed that such a model naturally gives rise to the idea that the esteem associated with a node in the graph (the esteem 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.…
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