基于复杂网络的多智能体股市情绪传播模型的中期报告摘要：本文提出了一种基于复杂网络的多智能体股市情绪传播模型，分析了情绪传播对股票价格变化的影响。我们假设股民的情绪会受到周围股民的情绪影响，并通过网络相互传播。我们利用实际股票数据构建了一个复杂网络，并在此基础上运行模拟实验，得出了以下初步结论：1.情绪传播在某些情况下能够显著影响股票价格的变化。2.在网络的中心位置的节点相对来说更有利于情绪传播，这些节点通常包括大型基金和机构投资者。3.在网络中距离较远的节点之间的情绪传播效果较差，因此应注意区分不同地区或不同国家的股票市场。本模型未来需要进一步优化和验证，但初步结果表明，情绪传播对于股票价格变化具有重要影响，这可以为投资者提供参考和决策。关键词：复杂网络，情绪传播，多智能体，股票价格，模拟实验。Abstract:Inthispaper,weproposeamulti-agentstockmarketsentimentpropagationmodelbasedoncomplexnetworksandanalyzetheimpactofsentimentpropagationonstockpricechanges.Weassumethattheemotionsofstockholdersareinfluencedbytheemotionsofotherstockholdersaroundthemandspreadthroughthenetwork.Weuseactualstockdatatoconstructacomplexnetworkandconductsimulationexperiments.Thefollowingpreliminaryconclusionsaredrawn:1.Insomecases,sentimentpropagationcansignificantlyaffectstockpricechanges.2.Nodesinthecenterofthenetworkarerelativelyadvantageousforsentimentpropagation,whichusuallyincludelargefundsandinstitutionalinvestors.3.Theeffectofsentimentpropagationbetweennodesdistantfromeachotherinthenetworkispoor,soweneedtodistinguishbetweendifferentregionsorcountries'stockmarkets.Furtheroptimizationandvalidationofthemodelareneededinthefuture,butthepreliminaryresultsshowthatsentimentpropagationhasanimportantinfluenceonstockpricechanges,whichcanprovidereferencesanddecisionsforinvestors.Keywords:Complexnetworks,sentimentpropagation,multi-agent,stockprice,simulationexperiments.