http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Jing Zhang,Yaming Zhuang 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
This article examines the volatility spillover effects among USA and five East Asian stock markets using multivariate stochastic volatility with regime-switching model. The five East Asian stock markets are China, Hong Kong, Japan, Korea and Singapore respectively. We choose the most representative stock index in each area. Our empirical analysis of these indices daily data suggest that multivariate stochastic volatility with regime-switching model performs better in different market condition. This study found that there are no significant volatility spillover between China and USA. But there exist some significant volatility spillover among East Asian markets.
Knowledge Diffusion of User Innovation Community Based on BBV Weighted Network
Shuyang Jiang,Yaming Zhuang 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
As knowledge constitutes an important innovative force, it is significant to understand the performance of knowledge diffusion in user innovation community. In this paper, we use the model of knowledge diffusion based on BBV weighted network, which introduces the effects of different network structures, knowledge absorption capacity and the degree of interaction between community users and managers on knowledge diffusion. The results show that the BBV weighted network is easier to accelerate knowledge diffusion, and the community knowledge variance is smaller. Knowledge absorptive capacity of community users is conducive to knowledge growth, but knowledge variance increases accordingly. If the interaction between community users and managers is maintained at a moderate level, it will help to reduce the knowledge variance. In fact, if these factors are neglected, it is difficult to predict the process and results of knowledge diffusion correctly.
Dynamical evolution of public perceptions of technological innovation in supernetwork
Xiaoyue Qiu,Xiaqun Liu,Yaming Zhuang 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
This paper studies the evolution of public perceptions of technological innovation based on the supernetwork involving social subnetwork, information subnetwork, and knowledge subnetwork. The interaction rules of nodes with different attributes among all the subnetworks are designed by using the multi-agent modeling method. By simulations, we find that with the increase of the public knowledge level or the expansion of the information dissemination range, the public perceptions have gradually improved, but the improvement of public perceptions has a marginal diminishing effect. Besides, the impact of information professionalism on public perceptions will be affected by the range of information dissemination, when the range of information dissemination is small, reducing the professionalism of information can improve the public perceptions; but when the range of information dissemination is large, the professionalism of information has little effect on the evolution of public perceptions. Meanwhile, the trust threshold caused by different knowledge level and the social network structure will affect the convergence of public perceptions.