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Research on the hysteresis effect of topic related evolution for emerging trends prediction

Journal of Data and Information Science
Volume 10 (2025): Issue 3 (June 2025)
By:
Open Access
|Apr 2025

Figures & Tables

Figure 1.

Method and procedure.
Method and procedure.

Figure 2.

Visualization illustration of subject content association evolution.
Visualization illustration of subject content association evolution.

Figure 3.

Determination of the number of topics.
Determination of the number of topics.

Figure 4.

Topic recognition.
Topic recognition.

Figure 5.

Topic association construction.
Topic association construction.

Figure 6.

Calculation example of topic popularity time series correlation coefficient.
Calculation example of topic popularity time series correlation coefficient.

Figure 7.

Topic popularity time series maximum correlation coefficient and its lag period.
Topic popularity time series maximum correlation coefficient and its lag period.

Figure 8.

Positive/Negative correlation lag statistics comparison (significance test completed).
Positive/Negative correlation lag statistics comparison (significance test completed).

Figure 9.

The evolution path of topic content association (lag 1 year-lag 4 years). (https://www.informationscience.top/nsf777.html)
The evolution path of topic content association (lag 1 year-lag 4 years). (https://www.informationscience.top/nsf777.html)

Figure 10.

The ratio of fund topics to paper topics related evolution.
The ratio of fund topics to paper topics related evolution.
DOI: https://doi.org/10.2478/jdis-2025-0021 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 52 - 77
Submitted on: Oct 30, 2024
Accepted on: Mar 13, 2025
Published on: Apr 4, 2025
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Emerging trend prediction,
Topic association,
Topic evolution,
Hysteresis effect,
Lag period
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2025 Ziqiang Liu, Haiyun Xu, Lixin Yue, Zenghui Yue, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

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