复杂网络鲁棒性研究

Taking Internet, life network and social network as the study examples, network science has been studied for 15 years and made important progress in a small world, scale free and the emergence. Network robustness is becoming a hot spot in current study. Based on the achievement of a previous NSFC project Network Data Mining Method, This research will focus on network robustness, using the physics atom model and the field method and extending the innovation of cloud model and topology potential method. The study issues include physical properties of the distribution of nodes and edges, mapping and the importance measurement of nodes and edges, the community discovery based on topology potential method, the network collapse mechanism, the attack cost and selective attack strategies. As the result, the new strategies and algorithms with maximum damage effect and minimum attack cost will be concluded, and will be examined on social networks and community groups on the Internet, which could be used as a kind of new methodology for the Cyberwar.

以互联网、生命网络和社会网络等为研究对象的网络科学兴起已经15年了，在小世界、无标度和涌现等方面取得了重要进展，网络鲁棒性研究正在成为热点。本项目采用物理学中原子模型和场的方法，在已完成并获得"优秀"评价的面上项目"网络化数据挖掘方法研究"的基础上，深化云模型和拓扑势等创新成果，围绕复杂网络的鲁棒性问题，研究节点和边的分布规律、节点和边的物理属性映射及重要性度量、社区发现的拓扑势方法、网络崩溃机理、攻击代价和选择性攻击策略等内容，并针对互联网上的社交网络和社区群体进行鲁棒性印证，努力探寻毁伤效果最大、攻击代价最低的策略与算法，也为赛柏战（Cyberwar）提供新的方法。

以互联网、生命网络和社会网络等为研究对象的网络科学兴起已经15 年了，在小世界、无标度和涌现等方面取得了重要进展，网络鲁棒性研究正在成为热点。本项目采.用物理学中原子模型和场的方法，在已完成并获得“优秀”评价的面上项目“网络化数据挖掘方法研究”的基础上，深化云模型和拓扑势等创新成果，围绕复杂网络的鲁棒性问题，研究节点和边的分布规律、节点和边的物理属性映射及重要性度量、社区发现的拓扑势方法、网络崩溃机理、攻击代价和选择性攻击策略等内容，并针对互联网上的社交网络和社区群体进行鲁棒性印证，努力探寻毁伤效果最大、攻击代价最低的策略与算法，也为赛柏战（Cyberwar）提供新的方法。