Chinese lexical networks: The structure, function and formation

Li, Jianyu; Zhou, Jie; Luo, Xiaoyue; Yang, Zhanxin

doi:10.1016/j.physa.2012.05.058

Cited by 13 publications

(13 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper, we have presented the results of the analysis performed on Chinese near-synonyms network. As other Chinese phrases network [4] [17], Chinese nearsynonyms network displays sale-free and hierarchical structure features, which are responsible for robustness. The phrases in Chinese do not exist in isolation, but put together through certain semantic relationships, such as synonym, near-synonym and antonym aggregation [18].…”

Section: N-clique Communitymentioning

confidence: 99%

“…Any language in the world, including Chinese, makes sentences and phrases by connecting basic units based on complex grammar, syntax and semantics [1]. Recently, with the rapid development of complex networks studies, language complex networks are actively investigated [2] [3] [4]. For instance, word co-occurrence networks [5], semantic networks [6] and synonyms network [7] display two important features: small-word effect and scale-free distribution.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Statistical Properties of Chinese Near-synonyms Network

Li¹,

Chen²,

Luo³

et al. 2013

Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering

Self Cite

View full text Add to dashboard Cite

We investigate Chinese near-synonyms (include synonyms and near-synonyms) based on complex network theory. In the study of near-synonyms network, scale-free effect and hierarchical structure features are found in this complex system. In particular, we find that n-node cliques exist widely in near-synonyms network. N-node clique structure is a powerful tool for understanding global structures of complex networks. Through the analysis of nnode cliques, near-synonyms are clustered in clique style. The structures properties of n-node cliques in a way may explain the associative mechanism and information storage in human brain.

show abstract

Section: N-clique Communitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Statistical Properties of Chinese Near-synonyms Network

Li¹,

Chen²,

Luo³

et al. 2013

Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Sentences in Chinese consist of characters and words in which the most correlated characters in a sentence are usually the closest [ 23 ]. Thus, Chinese language networks can be interpreted in terms of the adjacency relationship between characters appearing in the text.…”

Section: Introductionmentioning

confidence: 99%

Comparison of ancient and modern Chinese based on complex weighted networks

Cui

Tan

et al. 2017

PLoS ONE

View full text Add to dashboard Cite

In this study, we compare statistical properties of ancient and modern Chinese within the framework of weighted complex networks. We examine two language networks based on different Chinese versions of the Records of the Grand Historian. The comparative results show that Zipf’s law holds and that both networks are scale-free and disassortative. The interactivity and connectivity of the two networks lead us to expect that the modern Chinese text would have more phrases than the ancient Chinese one. Furthermore, by considering some of the topological and weighted quantities, we find that expressions in ancient Chinese are briefer than in modern Chinese. These observations indicate that the two languages might have different linguistic mechanisms and combinatorial natures, which we attribute to the stylistic differences and evolution of written Chinese.

show abstract

“…In recent years' research, it is found that any language in the word including Chinese character by connecting basic units is based on complex grammar, syntax, and semantics [6]. Recently, with the rapid development of complex networks studies, Chinese complex networks are actively studied [7][8][9]. For example, word cooccurrence networks [10] show two important characteristics: small-world effect and scale-free distribution.…”

Section: Introductionmentioning

confidence: 99%

Complex Networks: Statistical Properties, Community Structure, and Evolution

Zhang

Cao

2015

Mathematical Problems in Engineering

Self Cite

View full text Add to dashboard Cite

We investigate the function for different networks based on complex network theory. In this paper, we choose five data sets from various areas to study. In the study of Chinese network, scale-free effect and hierarchical structure features are found in this complex system. These results indicate that the discovered features of Chinese character structure reflect the combination nature of Chinese characters. In addition, we study the community structure in Chinese character network. We can find that community structure is always considered as one of the most significant features in complex networks, and it plays an important role in the topology and function of the networks. Furthermore, we cut all the nodes in the different networks from low degree to high degree and then obtain many networks with different scale. According to the study, two interesting results have been obtained. First, the relationship between the node number of the maximum communities and the number of communities in the corresponding networks is studied and it is linear. Second, when the number of nodes in the maximum communities is increasing, the increasing tendency of the number of its edges slows down; we predict the complex networks have sparsity. The study effectively explains the characteristic and community structure evolution on different networks.

show abstract

Chinese lexical networks: The structure, function and formation

Cited by 13 publications

References 49 publications

Statistical Properties of Chinese Near-synonyms Network

Statistical Properties of Chinese Near-synonyms Network

Comparison of ancient and modern Chinese based on complex weighted networks

Complex Networks: Statistical Properties, Community Structure, and Evolution

Contact Info

Product

Resources

About