摘要
从社会网络理论视角出发,分析高技术虚拟产业集群社会网络信任特征,构建影响关系的三维结构模型,并以直接信任度、间接信任度及信任感知风险度3个维度为核心搭建总体运行框架。在此基础上,构建社会网络动态信任评估模型,综合考虑时间衰减、失信惩罚、推荐可信及风险感知等要素,从多角度全面准确地刻画动态性、复杂性及不确定性。采用Ma-pleSim仿真平台进行模拟仿真结果表明,该信任模式可以约束并遏制恶意失信行为的发生,对潜在合作伙伴选择、提高合作成功率具有较好的效果。
From the perspective of social network theory, this paper analyzes social network trust characteristics of High-tech virtual industrial cluster(HTVIC), constructs three-dimensional structure model which could effect HTVIC social network trust relationships, takes the direct trust degree, in- direct trust degree and trust perceived risk degree in three dimensions as the core to construct the o- verall operation framework for HTVIC social network trust mode. On this basis, this paper establi- shes HTVIC social network dynamic trust evaluation model, comprehensively considers the time de- cay, dishonesty punishment, recommendation trust and risk perception and other factors, fully and accurately depicts the dynamic, complexity and uncertainty of HTVIC social network trust relation- ship from various perspectives. Finally, it takes MapleSim as simulation platform to simulate the HTVIC social network trust mode and its dynamic trust evaluation model. The simulation results show that the this trust mode can constrain and curb the occurrence of HTVIC dishonesty malicious acts, and make good effect {or selecting the potential partners and improving cooperation success rate.
出处
《管理学报》
CSSCI
北大核心
2013年第9期1301-1308,共8页
Chinese Journal of Management
基金
国家自然科学基金资助项目(71072085
71272191)
黑龙江省高等学校哲学社会科学创新团队建设计划资助项目
关键词
高技术虚拟产业集群
社会网络
信任模式
间接信任
信息熵
high-tech virtual industrial cluster
social network~ trust mode
indirect trust
infor-mation entropy