摘要
信任作为在线知识社区中的社会影响因素,对社区中的成员进行沟通学习、知识共享有着重要的作用。不同的在线知识社区有着不同的信任环境,而信任环境的不同会影响社区中用户的学习模式和观点传播。基于此,本文提出了基于信任与Deffaunt的组合观点影响模型。信任模型主要将社区中的信任分为认知信任和情感信任,通过调节参数结构,对应不同信任环境中信任的动态演化过程。Deffaunt模型作为基本观点影响模型,模拟了不同信任环境下的在线知识社区的知识观点的演化过程。实验结果发现,信任环境的高低决定了社区中的观点是否收敛,并且社区中的群体理性人占比和信任程度都能影响观点的收敛速度。
Trust, as a social influence factor in the Online Knowledge Community（ OKC）, plays an important rolein communication and learning among members of the community. Different Online Knowledge Communities havedifferent trust environment, and different trust environments affect the mode of members＇ learning and opinionevolution in community. Based on this, we present the opinion influence model which combinesTrust measure-ment model and Deffaunt model. First, in Trust model,we divide the trust of the network community between twoagents into the cognitive trust and affective trust, and adjust parameter structure to simulate different trustenvironments. Then, we improve Deffaunt model as the opinion spread model to carry out multi group simulationexperiment to simulate the evolution process of the knowledge system of online knowledge community underdifferent trust environments. The results show that the level of trust environment determines whether the opinion inthe community is convergent, and the proportion of rational population in the community and the degree of trustcan influence the convergence rate of the view.
作者
裘江南
张美慧
QIU Jiang-nan, ZHANG Mei-hui(School of Management Science and Engineering, Dalian University of Technology, Dalian 116024, Chin)
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2018年第3期175-183,共9页
Operations Research and Management Science
基金
国家自然科学基金项目(71573030)
国家自然科学基金重点项目(71533001)
辽宁省社科研规划基金重点项目(L15AGL017)
中央高校基本科研业务费资助(DUT17RW133)
关键词
在线知识社区
认知信任
情感信任
观点演化
Online Knowledge Community（OKC）
cognitive trust
affective trust
opinionevolution
