NDLI: The study on the core personality trait words of Chinese medical university students based on social network analysis

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The study on the core personality trait words of Chinese medical university students based on social network analysis

Content Provider	Semantic Scholar
Author	Wu, Ying Xue, Yunzhen Xue, Zhanling
Copyright Year	2017
Abstract	The medical university students in China whose school work is relatively heavy and educational system is long are a special professional group. Many students have psychological problems more or less. So, to understand their personality characteristics will provide a scientific basis for the intervention of psychological health.We selected top 30 personality trait words according to the order of frequency. Additionally, some methods such as social network analysis (SNA) and visualization technology of mapping knowledge domain were used in this study.Among these core personality trait words Family conscious had the 3 highest centralities and possessed the largest core status and influence. From the analysis of core-peripheral structure, we can see polarized core-perpheral structure was quite obvious. From the analysis of K-plex, there were in total 588 "K-2"K-plexs. From the analysis of Principal Components, we selected the 11 principal components.This study of personality not only can prevent disease, but also provide a scientific basis for students' psychological healthy education. In addition, we have adopted SNA to pay more attention to the relationship between personality trait words and the connection among personality dimensions. This study may provide the new ideas and methods for the research of personality structure.
Starting Page	1117
Ending Page	1123
Page Count	7
File Format	PDF HTM / HTML
PubMed reference number	28906409v1
Alternate Webpage(s)	https://doi.org/10.1097/MD.0000000000008078
DOI	10.1097/MD.0000000000008078
Journal	Medicine
Volume Number	96
Language	English
Access Restriction	Open
Subject Keyword	Dimensions Entity Name Part Qualifier - adopted Imagery Largest mental health
Content Type	Text
Resource Type	Article

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