基于最大连通子图的复杂网络优化设计

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1、-------significanttothestocknetwork.Afterthat,wetestingitonthestocknetworkmodelsofDQS88index,andwereachedthesameconclusion.Thepaperproposedkeepingthenumberofedgesinthelargestconnectedsubgraphandthelargestconnectedsubgraphnodedegreethesametooptimizethenetwork.Th

2、estudyfoundthattheoptimizedstocknetworkstructurewasmorecloselyandrobustness.Meanwhilethetopologicalpropertywasmoreobvious.Keywords:Biggestconnectedsubgraph,Networkoptimization,Robustness,StocknetworksIII-----------万方数据-----------目录摘要............................

3、.................................................................................................I Abstract.........................................................................................................................II 第1章绪论.........................

4、.........................................................................................1 1.1论文研究背景及意义.......................................................................................1 1.2国内外研究现状...........................................................

5、....................................1 1.3论文研究内容与方法.......................................................................................3 1.4论文结构...........................................................................................................4 1.5本章小

6、结..........................................................................................................4 第2章相关理论和方法..............................................................................................5 2.1股票网络构建方法...................................

7、.......................................................5 2.1.1相关系数.................................................................................................5 2.1.2最小生成树法.....................................................................................

8、....5 2.1.3边相关系数阈值法.................................................................................6 2.2复杂网络拓扑性质............................................................