IEEE Transactions on Network Science and Engineering

IEEE Transactions on Network Science and Engineering (TNSE) publishes 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. Read the full scope of TNSE.


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From the April-June 2018 issue

Cascading Failures in Interdependent Systems: Impact of Degree Variability and Dependence

By Richard J. La

Featured article We study cascading failures in a system comprising interdependent networks/systems, in which nodes rely on other nodes both in the same system and in other systems to perform their function. The (inter-)dependence among nodes is modeled using a dependence graph, where the degree vector of a node determines the number of other nodes it can potentially cause to fail in each system through aforementioned dependency. In particular, we examine the impact of the variability and dependence properties of node degrees on the probability of cascading failures. We show that larger variability in node degrees hampers widespread failures in the system, starting with random failures. Similarly, positive correlations in node degrees make it harder to set off an epidemic of failures, thereby rendering the system more robust against random failures.

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Editorials and Announcements

Announcements

  • TNSE is pleased to participate in a free trial offering of the new IEEE DataPort data repository, which supports authors in hosting and referring to their datasets during the article submission process. Learn more about this exciting opportunity.
  • TNSE is now indexed in the Clarivate Analytics Emerging Sources Citation Index (ESCI), a new edition of the Web of Science.
  • We are pleased to announce that Dapeng Oliver Wu, a professor in the Department of Electrical & Computer Engineering at the University of Florida, has been named the new 2017-2018 EIC for the IEEE Transactions on Network Science and Engineering.

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Call for Papers

Special Issue on Economics of Modern Networks

Submission deadline: 1 Sept. 2018. View PDF.

Many modern networks are becoming increasingly heterogeneous, dynamic, and complex. The need for smart and self-organizing network designs has become a central research issue in a variety of applications and scenarios. Proper economic mechanism design will go hand-in-hand with technology advances in solving many complex design and operation issues in these modern networks. This special issue solicits the state-of-art economic modeling and analysis results on a wide range of modern networks, such as Internet, wireless networks, energy networks, transportation networks, social networks and supply chain networks. We are particularly interested in contributions that can address issues in more than one type of networks.


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TNSE is financially cosponsored by:

IEEE Computer SocietyIEEE Circuits and Systems Society IEEE Comunications Society

 

TNSE is technically cosponsored by:

IEEE Control Systems SocietyIEEE Signal Processing Society