基于改进Ising模型的心理量表大数据分析

doi:10.3969/j.issn.0255-8297.2020.03.001

应用科学学报 ›› 2020, Vol. 38 ›› Issue (3): 339-352.doi: 10.3969/j.issn.0255-8297.2020.03.001

基于改进Ising模型的心理量表大数据分析

姚汝婧¹, 杨磊¹, 杨涛², 胡应鑫², 田强³, 吴偶¹

1. 天津大学应用数学中心, 天津 300072;
2. 杭州知乎者也科技有限公司教育大数据研发中心, 杭州 310008;
3. 天津师范大学计算机学院, 天津 300387

收稿日期:2019-10-17 出版日期:2020-05-31 发布日期:2020-06-11
通信作者: 吴偶,教授,博导,研究方向为数据挖掘、机器学习.E-mail:wuou@tju.edu.cn E-mail:wuou@tju.edu.cn
基金资助:
国家自然科学基金（No.61673377）；天津人工智能专项基金（No.17ZXRGGX00150）资助

Analysis for Psychological Scale Big Data Based on Improved Ising Model

YAO Rujing¹, YANG Lei¹, YANG Tao², HU Yingxin², TIAN Qiang³, WU Ou¹

1. Center for Applied Mathematics, Tianjin University, Tianjin 300072, China;
2. Research Center of Big Educational Data, Hangzhou Zhihuzheye Company, Hangzhou 310008, China;
3. School of Computer, Tianjin Normal University, Tianjin 300387, China

Received:2019-10-17 Online:2020-05-31 Published:2020-06-11

摘要/Abstract

摘要： 近年来，对个体的心理进行研究与量化分析越来越受到研究者们的关注，利用Ising模型对心理量表数据进行分析已经成为一种新的趋势，但是Ising模型容易造成信息丢失.为此该文对其进行了改进，提出了一种多类Ising模型和一种序Ising模型，并在一个大规模的心理量表数据集上进行了分析，验证了两种改进模型的性能.此外，针对不同人群的心理量表数据构建了相应的心理量表复杂网络，且进行了各项指标对比，从构建的心理量表复杂网络中得到一些有意义的结论.最后讨论了机器学习与大数据如何更好地介入到量表大数据中分析问题.

关键词: 心理量表大数据, 排序学习, 心理特性网络, 结构分析

Abstract: In recent years, the quantitative measurement of individual psychology has attracted more and more attention of administrators and researchers. It has become a new trend to use Ising model for analyzing the psychological scale data. In this paper, aiming at the shortcomings of the existing Ising model, we propose a multi-class Ising model and an ordinal Ising model. By applying them to analyze a large-scale psychological scales data set, we verify the performance of the two improved Ising models, construct complex networks of psychological scales for different groups of people, and conduct the comparisons of various indicators. Some meaningful conclusions have been drawn from the constructed psychological networks, and how machine learning and big data can be better involved in the analysis of psychological scale big data is discussed as well.

Key words: psychological scale big data, learning to rank, psychological network, structural analysis

中图分类号:

TP391

姚汝婧, 杨磊, 杨涛, 胡应鑫, 田强, 吴偶. 基于改进Ising模型的心理量表大数据分析[J]. 应用科学学报, 2020, 38(3): 339-352.

YAO Rujing, YANG Lei, YANG Tao, HU Yingxin, TIAN Qiang, WU Ou. Analysis for Psychological Scale Big Data Based on Improved Ising Model[J]. Journal of Applied Sciences, 2020, 38(3): 339-352.

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基于改进Ising模型的心理量表大数据分析

Analysis for Psychological Scale Big Data Based on Improved Ising Model

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