检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
出 处:《情报科学》2015年第11期62-68,84,共8页Information Science
基 金:国家自然科学基金研究项目(71201124)
摘 要:基于知识敏感度视角,在具有不同拓扑特征的规则网络、WS小世界网络和无标度网络上运用仿真方法研究知识敏感度变化策略下,软件行业联盟网络知识扩散规律。仿真结果表明,联盟网络知识敏感度的提高会加强这三种网络知识扩散的深度、资源配置的优化以及提高具有相近知识水平的主体空间聚集趋势;而且随着演化时期的延长,敏感度对知识扩散绩效的影响会因网络类型的不同产生差异化影响;与网络类型相比,联盟主体知识敏感度对知识扩散影响更为直接;高敏感度下,无标度网络是软件行业联盟知识扩散效应最优的网络结构。Based on the perspective of knowledge sensitivity, this paper adopts simulation method tostudy the rule of software industry alliance network's knowledge diffusion on the regular network, the WSsmall-world networks and scale-free networks which are with different network topology characteristicunder the different level of knowledge sensitivity.The simulation results show that, the improvement ofknowledge alliance network sensitivity can enhance the depth of knowledge diffusion, the optimization ofresource allocation and increase the space gathered trend of the subject with similar levels of knowledge;But with the extension of evolution period, the sensitivity will have different effect on knowledge diffusionperformance due to the difference of network type; Compared with the network type, the knowledge sensi-tivity of alliance agent more directly affect knowledge diffusion; At high sensitivity, scale-free networksis the optimal network structure which is with the best knowledge diffusion effect in software industry alli-ance network.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.249