Structures of Semantic Networks: Similarities between Semantic Networks and Brain Networks

摘要：

Two networks were extracted from two large semantic networks, HowNet and synsets of WordNet, based on conceptual relations. Analysis of these networks shows that they are complex networks with features of small-world and scale-free. Results also show (hat semantic networks are similar to brain networks: (a) exponents of power law degree distributions are between 1.0 and 2.0, while exponents of brain Junction networks are around 2.0; (b) semantic networks have hierarchical structures while brain networks exhibit features of segregation and integration; (c) semantic networks are disassortative, in mis not similar to brain junction networks but similar to neural networks. Similarities between semantic networks and brain networks suggest that they may obey similar dynamic rules.

关键词： semantic networks brain networks small-world scale-free hierarchical organization

作者: Lu TANG Yong Guang ZHANG Xue FU

作者单位: AMSS, CAS, Beijing, China;GSCAS, Beijing, China;USST, Shanghai, China AMSS, CAS, Beijing, China AMSS, CAS, Beijing, China;GSCAS, Beijing, China;JUF, Nanchang, China

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 356-361

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）