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本文在C3I系统指标体系结构模型的基础上,提出了静态模型的确定方法及一般模型,是传统线性评价模型的重要改进。该方法能确保实际系统评价的理论解一定存在于该模型的解的集合中。另一方面,针对其近似解,给出了权值的一般计算方法及基于实验数据的修正算法。 相似文献
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This paper focuses on the dynamics of binary opinions {+1,-1} on online social networks consisting of heterogeneous actors.In our model,actors update their opinions under the interplay of social influence and selfaffirmation,which leads to rich dynamical behaviors on online social networks.We find that the opinion leading to the consensus features an advantage of the initially weighted fraction based on actors' strength over the other,instead of the population.For the role of specific actors,the consensus converges towards the opinion that a small fraction of high-strength actors hold,and individual diversity of self-affirmation slows down the ordering process of consensus.These indicate that high-strength actors play an essential role in opinion formation with strong social influence as well as high persistence.Further investigations show that the initial fraction of high-strength actors to dominate the evolution depends on the heterogeneity of the strength distribution,and less high-strength actors are needed in the case of a smaller exponent of power-law distribution of actors' strength.Our study provides deep insights into the role of social influence and self-affirmation on opinion formation on online social networks. 相似文献
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本文在C^3I系统指标体系结构模型的基础上,提出了静态模型的确定方法及一般模型,是传统线性评价模型的重要改进。该方法能确保实际系统评价的理论解一定存在于该模型的解的集合中。另一方面,针对其近似解,给出了权值的一般计算方法及基于实验数据的修正算法。 相似文献
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