数据与计算发展前沿2026，Vol.8Issue(2)：250-261,12.DOI:10.11871/jfdc.issn.2096-742X.2026.02.019
网络主题的共同周期长度对主题间触发的影响机理及预测
The Impact Mechanism and Prediction of Common Cyclic Length Characteristics of Online Topics on Inter-Topic Triggering
摘要
Abstract
[Purpose]Whether and to what extent the common cycle lengths of online topics affect the triggering between topics is a theoretical and practical problem that requires more attention.[Method]This paper employs power spectrum analysis and red noise test to extract all signifi-cant cycle lengths of each topic.Furthermore,to examine the impact and predictive role of shared cycle lengths on triggering between paired topics.[Results]Whether topics share com-mon cycle lengths,and what specific cycle lengths they share,has significant effects on and pre-dictive value for inter-topic triggering.[Conclusion]It is more important to study what wave-lengths and vibration patterns are used to"repeat"information in public opinion than simply copying information in large quantities.It is also necessary to consider how a certain issue with a certain pattern of"pulse"can have the greatest impact and linkage on other issues in the entire public opinion field.关键词
周期长度/功率谱/红噪声/主题触发/格兰杰因果分析Key words
cycle length/power spectrum/red noise test/topic trigger/Granger causality引用本文复制引用
徐翔,宋雨萱..网络主题的共同周期长度对主题间触发的影响机理及预测[J].数据与计算发展前沿,2026,8(2):250-261,12.基金项目
国家自然科学基金(71804126) （71804126）
国家社科基金项目(24FXWB039) （24FXWB039）
