TermBall: Tracking and Predicting Evolution Types of Research Topics by Using Knowledge Structures in Scholarly Big Data

The exponential growth in the number of publications and the prevalence of interdisciplinary research in recent years call for new approaches for analyzing how topics in science are evolving at large. This paper proposes TermBall, a framework that tracks and predicts fine-grained topic evolution in...

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Bibliographic Details
Main Authors: Christine Balili, Uichin Lee, Aviv Segev, Jaejeung Kim, Minsam Ko
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9110856/