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基于空间影响域的虫害关系网络构造与分析
引用本文:王进法,赵海,刘晓,李鹤群.基于空间影响域的虫害关系网络构造与分析[J].东北大学学报(自然科学版),2016,37(12):1700-1704.
作者姓名:王进法  赵海  刘晓  李鹤群
作者单位:(东北大学 计算机科学与工程学院, 辽宁 沈阳110169)
基金项目:辽宁省科学技术计划项目(2015401039).
摘    要:网络科学已成为研究生态学相关重大问题的重要手段.基于生态位法则和竞争排除原理提出虫害的空间影响域模型,并利用该模型提取2009~2013年的长白山脉虫害关系网络拓扑结构,进而研究该网络结构的无标度性、节点重要性和层次性.统计结果表明,长白山脉虫害关系网络的出度分布服从幂律性,而入度分布较均匀;网络中稳定存在的大出度值节点的介数较大,而大入度值节点局部上呈现高聚集性;网络的层次结构基本稳定,辽东半岛是虫害频发的高核区和危害程度的重灾区.

关 键 词:复杂网络  虫害关系网络  空间影响域  无标度  节点重要性  

Construction of Pest Relationship Network Based on Space Influence Domain and Its Analysis
WANG Jin-fa,ZHAO Hai,LIU Xiao,LI He-qun.Construction of Pest Relationship Network Based on Space Influence Domain and Its Analysis[J].Journal of Northeastern University(Natural Science),2016,37(12):1700-1704.
Authors:WANG Jin-fa  ZHAO Hai  LIU Xiao  LI He-qun
Institution:School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
Abstract:Network science theory has become an important means to study the significant problems of the ecology. Based on the niches rule and the competitive exclusion principle, a model of space influence domain about the pest was proposed. According to this model, the pest relationship networks of Changbai Mountains were extracted from 2009 to 2013, and then the scale-free of network, important nodes and hierarchy were studied. The statistical results show that out-degree distribution follows a power-law, and the in-degree is well-distributed. The nodes, which exist in all networks and have larger out-degree, have also the larger betweenness value. But the nodes with larger in-degree is high-clustering locally. The hierarchical structure of networks is almost stable. Liaotung peninsula is the high-core area of pest occurring frequently and the most serious area of pest.
Keywords:complex network  pest relationship network  space influence domain  scale-free  important nodes  
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