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在认真梳理人际情报网络、隐性知识共享、关系强度、结构洞、网络闭合等理论及研究成果的基础上,深入分析关系强度、结构洞及网络闭合对人际情报网络隐性知识共享的影响,进而构建了适于隐性知识共享的内紧外松的人际情报网络模式,并从程度中心性、中介中心性及距离中心性等角度对网络进行了分析和优化,以提高人际情报网络隐性知识共享的效率和质量。
Based on the theory and research results of interpersonal intelligence network, tacit knowledge sharing, strength of relationship, structure hole and network closure, the paper deeply analyzes the influence of relationship strength, structural hole and network closure on tacit knowledge sharing in interpersonal intelligence networks, And then constructs the interpersonal and external loose interpersonal intelligence network model which is suitable for tacit knowledge sharing and analyzes and optimizes the network from the aspects of degree centrality, intermediary centrality and distance centrality so as to improve the hiddenness of interpersonal intelligence networks The efficiency and quality of knowledge sharing.