IEEE Transactions on Network Science and Engineering Impact Factor, Indexing, Ranking 2024

The IEEE Transactions on Network Science and Engineering is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level.  The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks. The core topics covered include: Network Sampling and Measurement; Learning of Network Topology; Modeling and Estimation of Network Dynamics; Network Inference; Models of Complex Networks; Modeling of Network Evolution; Network Design;  Consensus, Synchronization and Control of Complex Networks;  Interactions between and Co-evolution of Different Genres of Networks; Community Formation and Detection; Complex Network Robustness and Vulnerability; Network Interdependency and Cascading Failures; Searching in Complex Networks; Information Diffusion and Propagation;  Percolation and Diffusion on Networks;  Epidemiology in Complex Systems.

《IEEE 网络科学与工程杂志》致力于及时发表经过同行评审的技术论文，这些论文探讨网络科学的理论与应用，以及构成网络的系统元素之间的相互联系。特别是，该杂志发表关于在基本层面上理解、预测和控制网络结构及行为方面的文章。涵盖的网络类型包括物理或工程网络、信息网络、生物网络、语义网络、经济网络、社会网络和生态网络。旨在揭示支配网络结构、网络功能和网络行为的普遍原理，该杂志寻求关于理解、预测和控制网络结构和行为方面的文章。此外，《IEEE 网络科学与工程杂志》的另一跨学科关注点是不同类型网络之间的相互作用和协同进化。核心议题包括：网络抽样与测量；网络拓扑的学习；网络动力学的建模与估计；网络推断；复杂网络模型；网络演化的建模；网络设计；复杂网络的共识、同步与控制；不同类型网络之间的相互作用和协同进化；社区的形成与检测；复杂网络的鲁棒性与脆弱性；网络的互依性和级联故障；复杂网络中的搜索；信息扩散与传播；网络上的渗透与扩散；复杂系统中的流行病学。