Dynamic robustness of knowledge collaborative network under mass collaboration environment

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. © 2017, Editorial Department of CIMS. All right reserved.