As one of the important drivers of social change in China,residential mobility has caused a dramatic change in the interpersonal environment,but it remained little known how residential mobility would influence the ba...As one of the important drivers of social change in China,residential mobility has caused a dramatic change in the interpersonal environment,but it remained little known how residential mobility would influence the basis of interpersonal interaction—trust.The present research aimed to explore the effect of residential mobility on two kinds of trust,relational trust and institutional trust,by two studies.Study 1 explored the correlational relationship between regional residential mobility and two kinds of trust using data from the China General Social Survey 2010 and the Sixth National Population Census of China,and analyzed the data using hierarchical linear modeling.Study 2 switched to the individual level and investigated the causal relationship between individual residential mobility and two kinds of trust in the laboratory using the writing task for priming residential mobility and the situational selection task for trust.Study 1 found that individuals exhibited lower relational trust when they lived in a region of higher residential mobility.For institutional trust,the indicator about the permission to register household in inflow cities could significantly positively predict this.Study 2 found that the primed mindset of high(vs.low)residential mobility reduces relational trust and enhances institutional trust.In conclusion,the present research revealed that residential mobility promotes the transformation of individuals’trust mode from relational to institutional trust in social life,thus expanding the research field of residential mobility as a socioecological factor and extended the understanding of psychological transformation under the background of social change in China.展开更多
In recent years,large-scale group decision-making(LSGDM)has garnered significant scholarly attention.Given that decision-makers(DMs)may come from various departments and have distinct knowledge backgrounds,they often ...In recent years,large-scale group decision-making(LSGDM)has garnered significant scholarly attention.Given that decision-makers(DMs)may come from various departments and have distinct knowledge backgrounds,they often use heterogeneous information to express their assessments.To address these challenges,this paper proposes a new decision-making model for large groups in a social network environment.Initially,the large group is divided into communities based on the trust relationships among DMs using community detection algorithm.Subsequently,a direct method is used to process DMs’heterogeneous information.Simultaneously,we integrate the weight information of DMs and communities to calculate the preferences of the group using a weighted averaging operator.Additionally,an innovative feedback mechanism is designed,which takes into account the bounded confidence of experts and the influence of community leaders,to enhance the consensus level.Finally,the feasibility and effectiveness of the proposed model are demonstrated through a specific case study.展开更多
基金National Natural Science Foundation of China,Grant/Award Number:31971012。
文摘As one of the important drivers of social change in China,residential mobility has caused a dramatic change in the interpersonal environment,but it remained little known how residential mobility would influence the basis of interpersonal interaction—trust.The present research aimed to explore the effect of residential mobility on two kinds of trust,relational trust and institutional trust,by two studies.Study 1 explored the correlational relationship between regional residential mobility and two kinds of trust using data from the China General Social Survey 2010 and the Sixth National Population Census of China,and analyzed the data using hierarchical linear modeling.Study 2 switched to the individual level and investigated the causal relationship between individual residential mobility and two kinds of trust in the laboratory using the writing task for priming residential mobility and the situational selection task for trust.Study 1 found that individuals exhibited lower relational trust when they lived in a region of higher residential mobility.For institutional trust,the indicator about the permission to register household in inflow cities could significantly positively predict this.Study 2 found that the primed mindset of high(vs.low)residential mobility reduces relational trust and enhances institutional trust.In conclusion,the present research revealed that residential mobility promotes the transformation of individuals’trust mode from relational to institutional trust in social life,thus expanding the research field of residential mobility as a socioecological factor and extended the understanding of psychological transformation under the background of social change in China.
基金supported by National Natural Science Foundation of China:[Grant Number 72201066].
文摘In recent years,large-scale group decision-making(LSGDM)has garnered significant scholarly attention.Given that decision-makers(DMs)may come from various departments and have distinct knowledge backgrounds,they often use heterogeneous information to express their assessments.To address these challenges,this paper proposes a new decision-making model for large groups in a social network environment.Initially,the large group is divided into communities based on the trust relationships among DMs using community detection algorithm.Subsequently,a direct method is used to process DMs’heterogeneous information.Simultaneously,we integrate the weight information of DMs and communities to calculate the preferences of the group using a weighted averaging operator.Additionally,an innovative feedback mechanism is designed,which takes into account the bounded confidence of experts and the influence of community leaders,to enhance the consensus level.Finally,the feasibility and effectiveness of the proposed model are demonstrated through a specific case study.
