基于Tag探讨一种虚拟社区中知识协同伙伴选择策略。首先通过Tag聚类划分虚拟社区知识领域,识别较强的知识关联;其次借鉴二分图理论,投影构建优化的知识关联图;然后运用图结构分析确定候选伙伴集,并完成候选伙伴评价与选取。最后给出一个实验阐述该策略的应用,进一步验证研究结论。 A Strategy for Choosing Knowledge Cooperative Partner in Virtual Community Based on Tag. First, we classify the virtual community knowledge domain by Tag clustering and identify strong knowledge association. Secondly, we use the bipartite graph theory to project and construct the optimized knowledge correlation graph. Then we use the graph structure analysis to determine the candidate partner set and complete the evaluation and selection of the candidate partners. Finally, an experiment is given to illustrate the application of this strategy to further verify the research conclusions.