›› 2017, Vol. 23 ›› Issue (第11): 2353-2360.DOI: 10.13196/j.cims.2017.11.003

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Dynamic robustness of knowledge collaborative network under mass collaboration environment

  

  • Online:2017-11-30 Published:2017-11-30
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.71231001),and the Fundamental Research Funds for the Central Universities,China(No.2302015FRF-BR-15-017A).

大规模协同环境下知识协作网络的动态鲁棒性

张晓冬1,周宏丽1+,胡杨2   

  1. 1.北京科技大学东凌经济管理学院
    2.中国航空综合技术研究所
  • 基金资助:
    国家自然科学基金资助项目(71231001);中央高校基本科研业务费专项资金资助项目(2302015FRF-BR-15-017A)。

Abstract: Aiming at the characteristics of knowledge collaborative under the mass collaboration environment,the dynamic robustness of network was researched.Four types of node outflow were designed,that were the node with main knowledge contribution collectively outflow,the node with main knowledge contribution gradually outflow,the node with main knowledge dissemination collectively outflow and the node with main knowledge dissemination gradually outflow.The network efficiency and the relative size of largest connected subgraph were adopted to evaluate networks robustness.The former reflected the efficiency of knowledge dissemination in knowledge collaborative network,and the latter suggested the degree of knowledge collaborative.The results of robustness analysis indicated that the networks at different stages showed weak robustness under node deliberate outflow and strong robustness under node random outflow.In the development period of network evolution,community manager should formulate incentives or protection measures to prevent the phenomenon of node with main knowledge contribution gradually outflowing,the node with main knowledge dissemination collectively outflowing and the node with main knowledge dissemination gradually outflowing.In the mature period of network evolution,it was needed to mainly prevent the node with main knowledge dissemination gradually outflowing.The robustness of the network was relatively poor in start-up period or development period,whereas it was higher in the mature period.The robustness analysis method of knowledge collaboration network could be used to enact the protection strategies for important users of knowledge dissemination and knowledge contribution at different stages of network development,thereby promoted the sustainable and stable development of open source community.

Key words: knowledge collaborative network, dynamic robustness, mass collaboration, complex network

摘要: 针对大规模协同环境下知识协作网络的特点,对网络的动态鲁棒性进行了研究。设计了主要知识贡献节点集体流失、主要知识贡献节点陆续流失、主要知识传播节点集体流失和主要知识传播节点陆续流失4种节点流失方式。采用网络效率和最大连通子图相对大小进行鲁棒性评价,前者反映了知识协作网络中知识传播的效率,后者则体现出知识协作程度。鲁棒性分析结果表明:网络在不同时期均表现出面对节点刻意流失时鲁棒性低,面对节点随机流失时鲁棒性高;在网络演化的发展期,社区管理人员应制定激励或保护措施,防止主要知识贡献节点陆续流失、主要知识传播节点集体流失、主要知识传播节点陆续流失;在网络演化的成熟期,需要重点防止主要知识传播节点用户的陆续流失;启动期或发展期的网络鲁棒性较差,成熟期的网络鲁棒性较高。所构建的知识协作网络鲁棒性分析方法,可以针对网络发展的不同阶段制定针对知识传播和知识贡献关键用户的保护策略,从而促进开源社区的持续稳定发展。

关键词: 知识协作网络, 动态鲁棒性, 大规模协同, 复杂网络

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