Journal Guide

The journal Netnomics is intended to be an outlet for research in electronic networking as well as in network economics.As more and more transactions are carried out electronically, important economic issues and problems arise. A network-based real-time macroeconomy has emerged with its own set of economic characteristics, creating a wealth of opportunities for economic research as well as important linkages to information systems. Topics that could be addressed are pricing schemes for electronic services, electronic trading systems, data mining and high-frequency online data as well as big data, real-time forecasting, filtering, economic software agents, distributed database applications, electronic money and tickets, and many more. Evidently, this is only the tip of the iceberg. Moreover, we attempt to disclose important research questions in the field of network economics. This may reflect networks in their widest sense regarding, for instance, telecommunications, electronic networks, supply chain networks, networks in traffic and transportation such as the airline and maritime shipping industries, or even electricity networks and smart grids. Papers of Netnomics describe cutting edge research and applications in these areas.
Officially cited as: Netnomics

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The Journal provides a forum for integrating theoretical and experimental findings in computational neuroscience across relevant interdisciplinary boundaries. Rapidly accumulating empirical data in the neurobiological, psychological and cognitive domains provide important constraints for new theoretical models. The Journal aims to present such theoretical results, and make them accessible to neurobiologists, psychologists and cognitive scientists. Read More: http://informahealthcare.com/page/net/Description.

Network problems are pervasive in our modern technological society, as witnessed by our reliance on physical networks that provide power, communication, and transportation. As well, a number of processes can be modeled using logical networks, as in the scheduling of interdependent tasks, the dating of archaeological artifacts, or the compilation of subroutines comprising a large computer program. Networks provide a common framework for posing and studying problems that often have wider applicability than their originating context. The goal of this journal is to provide a central forum for the distribution of timely information about network problems, their design and mathematical analysis, as well as efficient algorithms for carrying out optimization on networks. The nonstandard modeling of diverse processes using networks and network concepts is also of interest. Consequently, the disciplines that are useful in studying networks are varied, including applied mathematics, operations research, computer science, discrete mathematics, and economics. Networks publishes material on the modeling of problems using networks, the analysis of network problems, the design of computationally efficient network algorithms, and innovative case studies of successful network applications. Since the audience for this journal is then necessarily broad, articles that impact multiple application areas or that creatively use new or existing methodologies are especially appropriate. We seek to publish original, well-written research papers that make a substantive contribution to the knowledge base. In addition, tutorial and survey articles are welcomed. All manuscripts are carefully refereed.

NHM is a quarterly publication in March, June, September and December. It is now online only. To submit, send a pdf directly to the Editor in Chief, Benedetto Piccoli, at nhmaims@camden.rutgers.edu. NHM offers a strong combination of three features: Interdisciplinary character, specific focus, and deep mathematical content. Also, the journal aims to create a link between the discrete and the continuous communities, which distinguishes it from other journals with strong PDE orientation. NHM publishes original contributions of high quality in networks, heterogeneous media and related fields. NHM is thus devoted to research work on complex media arising in mathematical, physical, engineering, socio-economical and bio-medical problems. NHM is covered in Science Citation Index Expanded, CompuMath Citation Index, Current Contents/Engineering, Computing, and Technology ISI Alerting Services.

Networks and Spatial Economics (NETS) is devoted to the mathematical and numerical study of economic activities facilitated by human infrastructure. The range of topics is broadly defined to include technologies pertinent to information, telecommunications, the Internet, transportation, energy storage and transmission, and water resources. The journal publishes a full spectrum of high quality work in networks and spatial economics including theoretical studies, case studies and algorithmic investigations, as well as manuscripts that combine these aspects. Although not devoted exclusively to theoretical studies, the journal is 'theory-friendly'.Officially cited as: Netw Spat Econ