摘要
通过建立观点演化模型,以计算机仿真为主要手段,发现网络中观点传播的一些新特性.分别从同步和抗毁性的角度分析了不同拓扑结构下的复杂网络观点演化规律.仿真结果表明无标度网络在此社会影响模型下依然显示出其"强壮且脆弱"的双重特性.网络紧密程度的上升能够提高随机网络的抗毁性,却会显著降低无标度网络的抗毁性能.此外侵入策略与噪音在演化过程中也起到重要作用.
This paper develops a mathematical model concerning opinion evolution,and studies some corresponding dynamical properties by numerical simulations.Opinion evolution is investigated for different kinds of complex networks in terms of synchronization and invulnerability.By using the proposed social impact model,the results show that scale-free networks own robust-yet-fragile characteristic.The enhancement of network cohesion can increase the invulnerability of random network,but reduce that of scale-free network.Moreover,invasive strategy and noise play important roles in the network evolution.
出处
《系统工程学报》
CSCD
北大核心
2010年第6期755-760,772,共7页
Journal of Systems Engineering
基金
国家自然科学基金资助项目(60874088)
教育部博士点基金资助项目(20070286003)
关键词
复杂网络
拓扑结构
网络演化
侵入策略
噪音
complex network
topologic structure
network evolution
invasive strategy
noise
