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

IEEE Transactions on Network Science and Engineering (ITNSE) is a scholarly journal dedicated to publishing research in the field of Engineering, and Published by Institute of Electrical and Electronics Engineers. and its abbreviation is IEEE Trans Netw Sci Eng.

The Publicaiton fees (APC) is $2,345 USD.

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. 

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