Key nodes mining of root network and phoneme network of modern Chinese characters

作     者：Rong Huang Quanyu Zou Kaiyu Xu Mingyang Cai Wenjun Zhang Weibing Deng Bo Liu 

作者机构：National Bases for Basic Scientific Research and Talents Cultivation College of Physical Science and Technology Central China Normal University Wuhan 430079 China College of Physical Science and Technology Central China Normal University Wuhan 430079 China Key Laboratory of Quark and Lepton Physics (MOE) and Institute of Particle Physics Central China Normal University Wuhan 430079 China Engineering Training Center School of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan 430070 China 

出 版 物：《Journal of Physics: Conference Series》 

年 卷 期：2018年第1113卷第1期

学科分类：07[理学] 0702[理学-物理学] 

摘      要：Roots and phonemes are two important ingredients (but not independent ones) when learning the Chinese language. In order to optimize the learning strategy, various key nodes mining algorithms are implemented both in the root network (RN) and phoneme network (PN) of modern Chinese characters. The lists of important roots and phonemes, and eventually the important characters are dug out and suggested. Rather than the commonly used frequency dictionary of characters, one would find that results from the key nodes mining are more systematic. Moreover, roots and phonemes are studied from perspective of the multi-layer network, in the interest of exploring the correlation between them, which are also very useful when learning the Chinese language.