Explicitly covariant light-front dynamics and relativistic few-body systems
J Carbonell, B Desplanques, VA Karmanov, JF Mathiot - Physics Reports, 1998 - Elsevier
The wave function of a composite system is defined in relativity on a space–time surface. In
the explicitly covariant light-front dynamics, reviewed in the present article, the wave …
the explicitly covariant light-front dynamics, reviewed in the present article, the wave …
[HTML][HTML] Graph metrics for network robustness—a survey
M Oehlers, B Fabian - Mathematics, 2021 - mdpi.com
Research on the robustness of networks, and in particular the Internet, has gained critical
importance in recent decades because more and more individuals, societies and firms rely …
importance in recent decades because more and more individuals, societies and firms rely …
[图书][B] Statistical analysis of network data with R
ED Kolaczyk, G Csárdi - 2014 - Springer
Networks and network analysis are arguably one of the largest growth areas of the early
twenty-first century in the quantitative sciences. Despite roots in social network analysis …
twenty-first century in the quantitative sciences. Despite roots in social network analysis …
Diagnosing network-wide traffic anomalies
A Lakhina, M Crovella, C Diot - ACM SIGCOMM computer …, 2004 - dl.acm.org
Anomalies are unusual and significant changes in a network's traffic levels, which can often
span multiple links. Diagnosing anomalies is critical for both network operators and end …
span multiple links. Diagnosing anomalies is critical for both network operators and end …
Bayesian neural networks for internet traffic classification
T Auld, AW Moore, SF Gull - IEEE Transactions on neural …, 2007 - ieeexplore.ieee.org
Internet traffic identification is an important tool for network management. It allows operators
to better predict future traffic matrices and demands, security personnel to detect anomalous …
to better predict future traffic matrices and demands, security personnel to detect anomalous …
Structural analysis of network traffic flows
Network traffic arises from the superposition of Origin-Destination (OD) flows. Hence, a
thorough understanding of OD flows is essential for modeling network traffic, and for …
thorough understanding of OD flows is essential for modeling network traffic, and for …
Towards a theory of scale-free graphs: Definition, properties, and implications
There is a large, popular, and growing literature on" scale-free" networks with the Internet
along with metabolic networks representing perhaps the canonical examples. While this has …
along with metabolic networks representing perhaps the canonical examples. While this has …
Providing public intradomain traffic matrices to the research community
This paper presents a new publicly available dataset from GÉANT, the European Research
and Educational Network. This dataset consists of traffic matrices built using full IGP routing …
and Educational Network. This dataset consists of traffic matrices built using full IGP routing …
Spatio-temporal compressive sensing and internet traffic matrices
Many basic network engineering tasks (eg, traffic engineering, capacity planning, anomaly
detection) rely heavily on the availability and accuracy of traffic matrices. However, in …
detection) rely heavily on the availability and accuracy of traffic matrices. However, in …
Spatio-temporal compressive sensing and internet traffic matrices (extended version)
Despite advances in measurement technology, it is still challenging to reliably compile large-
scale network datasets. For example, because of flaws in the measurement systems or …
scale network datasets. For example, because of flaws in the measurement systems or …