面向知识创新的科研组织知识社区挖掘——从社会资本的角度

项目名称： 面向知识创新的科研组织知识社区挖掘——从社会资本的角度

项目编号： No.71203164

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 宏观管理与政策

项目作者： 刘萍

作者单位： 武汉大学

项目金额： 22万元

中文摘要： 科研组织是知识经济时代知识创新的主体之一。知识社区的形成对于科研组织知识创新具有重要价值。围绕知识社区的研究也成为当代知识管理研究的新热点。本课题基于第二代知识管理以人为本的思想，从社会资本角度，研究面向知识创新的科研组织知识社区挖掘，研究内容包括：（1）基于社会资本的网络模型研究，利用社会资本的三个维度-认知维度、关系维度和结构维度探究科研人员之间的多种关系，并增加节点属性来构建异质网络模型。（2）知识社区发现及优化，根据加权网络模块度进行初步社区划分，再利用节点属性之间的语义相似度来进一步优化社区划分。（3）知识社区核心主题探测，从核心人物节点属性和关键词网络活跃节点两方面来进行挖掘和对比。（4）基于形式概念分析的社区知识结构探测。本研究补充和完善了知识管理的理论体系，在促进知识创新、培养创新人才、建设创新团队和群体等方面具有重要意义。

中文关键词： 社会资本；异构社会网络；社区发现；形式概念分析；知识结构

英文摘要： Scientific research organization is one of the important initiatives for knowledge innovation in the knowledge economic era. The formation of knowledge community has great value for knowledge innovation in a scientific research organization. Knowledge community is becoming the new trend in knowledge management. Based on the people oriented conception in the second generation knowledge management, this research aims to explore new solutions in community detection for scientific research organizations from social capital angle in order to promoting knowledge innovation. Research issues are as follows: (1) the social capital based network model, in which multiple relations between researchers are extracted according to the three dimensions of social capital and attributes of individuals are added; (2) community detection and optimization, by combining an algorithm for optimizing modularity and clustering algorithms based on semantic similarity between nodes; (3) main topic discovery for knowledge community, by extracting the research topic of core person in the community, and by extracting activity nodes from keyword network; (4) formal concept analysis based knowledge structure detection for community. This research develops and extends knowledge management theories， it also has great significance in facilitating

英文关键词： Social Capital；Heterogeneous Social Network；Community Detection；Formal Concept Analysis；Knowledge Structure