摘要: 现实中有些复杂网络并不具备无尺度网络的偏好连接特性,但节点之间具有信息传递相似性。为此,研究基于自相似特征形成的复杂网络,提出一种具有自相似特征的网络演化模型。证明以节点自相似演化的网络具有自相似性,并以容量维数作为衡量尺度,揭示复杂网络的自相似性。理论分析及仿真结果表明,该模型能合理描述现实中复杂网络的演化及其特征。
关键词:
复杂网络,
自相似,
信息传递,
容量维数
Abstract: Some complex networks in real world are not consenting the preference linking of Scale-Free(SF) network, but nodes has self-similarity. This paper proposes the network evolution model constituting based on self-similarity and researched the properties. To prove the network has the self-similarity formed with nodes self-similarity, it uses the volume dimension as the criterion reveal complex network self-similarity. Both theoretical analyses and simulation results show that the model can describe evolution and characters more exactly for many complex networks of the real world.
Key words:
complex network,
self-similarity,
information transfer,
volume dimension
中图分类号:
陶少华, 张向群. 复杂网络自相似特征演化模型研究[J]. 计算机工程, 2012, 38(01): 197-198,214.
DAO Shao-Hua, ZHANG Xiang-Qun. Research on Self-similarity Characteristic Evolution Model of Complex Network[J]. Computer Engineering, 2012, 38(01): 197-198,214.