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基于BBV的有向加权网络模型
引用本文:王桂英,周健,谢飏.基于BBV的有向加权网络模型[J].计算机工程,2010,36(12):141-143.
作者姓名:王桂英  周健  谢飏
作者单位:1. 合肥工业大学计算机与信息学院,合肥,230009
2. 合肥工业大学计算机与信息学院,合肥,230009;合肥工业大学信息与网络中心,合肥,230009
3. 合肥工业大学信息与网络中心,合肥,230009
基金项目:国家自然科学基金资助项目(60873194)
摘    要:在BBV模型基础上,结合方向性和网络演化特性,提出一种有向加权网络模型。引入参数p、q,将节点强度分为入强度和出强度,根据BBV建模思想进行模型择优和演化。理论分析和数值模拟仿真结果表明,该模型的节点出入强度和出入度分布满足幂律指数为2,3]的幂律分布,且通过调节参数可使平均路径和聚簇系数符合复杂网络特性。

关 键 词:BBV模型  有向加权网络  边权  节点出强度  节点入强度

Directed Weighted Network Model Based on BBV
WANG Gui-ying,ZHOU Jian,XIE Yang.Directed Weighted Network Model Based on BBV[J].Computer Engineering,2010,36(12):141-143.
Authors:WANG Gui-ying  ZHOU Jian  XIE Yang
Affiliation:(1. School of Computer and Information, Hefei University of Technology, Hefei 230009;2. Information and Network Center, Hefei University of Technology, Hefei 230009)
Abstract:This paper proposes a directed weighted network model based on BBV model by culminating with directivity and characteristic of network evolution. It introduces parameters p, q, the strength of a node is divided into in-strength and out-strength, picks over and evolution of this model based on BBV building thought. Theory analysis and numerical value simulation results show that node distribution of out-strength and in-strength with the exponent of 2,3] in this model. Average path and clustering coefficient which are adjusted by parameter can consistent with the characteristics of complex network.
Keywords:Barrat-Barthelemy-Vespignani(BBV) model  directed weighted network  edge weighted  node out-strength  node in-strength
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