Geotree of Geodetector: An Anatomy of Knowledge Diffusion of a Novel Statistic
Yuting Liang, Jinfeng Wang

TL;DR
This paper introduces Geotree, a hierarchical model to analyze the evolution and diffusion of knowledge in scientific research, exemplified through the Geodetector theory, revealing distinct development phases and global dissemination patterns.
Contribution
It develops a novel hierarchical modeling framework (Geotree) to trace knowledge evolution and diffusion, validated across multiple scientific cases, enhancing understanding of scientific knowledge dissemination.
Findings
Knowledge evolution of Geodetector divided into three phases.
Predictive model achieved 100% higher R2 than alternatives.
Knowledge spread correlates with scientific output more than income.
Abstract
The growing number of citations to original publications highlighted their utility across academia, but the dissemination of knowledge from tacit conceptualization to scientific publications and its global applications remains understudied, and the prediction of knowledge trends in a disciplinary context is rare. Addressing the gaps, this paper constructed a tree-like hierarchical model (Geotree) to dissect the knowledge evolution paths of the Geodetector theory (a case) using the Web of Science citation database. Our results revealed that the knowledge evolution of 932 citations to Geodetector was partitioned into periods: a budding period of initial theoretical exploration, a growing period for emerging topics in application, and a mature period marked by significant citation growth. Our test R2 of the predicting model over the next decade, considering the tree-like hierarchy across…
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Taxonomy
TopicsAdvanced Computational Techniques and Applications · Geographic Information Systems Studies · Soil Geostatistics and Mapping
