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Expanded Koch networks: structure and trapping time of random walks
被引:8
|作者:
Hou, Baoyu
[1
]
Zhang, Hongjuan
[1
]
Liu, Li
[2
]
机构:
[1] Shanghai Univ, Dept Math, Shanghai 200444, Peoples R China
[2] Anhui Normal Univ, Coll Territorial Resources & Tourism, Wuhu 241002, Anhui, Peoples R China
来源:
EUROPEAN PHYSICAL JOURNAL B
|
2013年
/
86卷
/
04期
基金:
中国国家自然科学基金;
关键词:
RESISTANCE DISTANCE;
1ST-PASSAGE TIMES;
COMPLEX;
D O I:
10.1140/epjb/e2013-30905-x
中图分类号:
O469 [凝聚态物理学];
学科分类号:
070205 ;
摘要:
Based on the Koch network constructed using Koch fractals, we proposed a class of expanded Koch networks in this paper. The original triangle is replaced by r-polygon, and each node generates m sub r-polygons by every step, which makes the Koch network more general. We studied the structure and properties of the networks. The exact analytical result of the degree distribution, clustering coefficient and average path length were obtained. When parameters m and r satisfy some certain conditions, the networks follow a power-law distribution and have a small average path length. Finally, we introduced the random walk on the network. Our discussions focused on the trapping problem, particularly the calculation and derivation of mean first passage time (MFPT) and global mean first passage time (GMFPT). In addition, we also gave the relationship between the above results and the network size.
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页数:10
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