Results 221 to 230 of about 41,287 (259)
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Spectral centrality measures in temporal networks

Ars Mathematica Contemporanea, 2015
In our previous article we defined temporal quantities used for the description of temporal networks with zero latency and we showed that some centrality measures (e.g. degree, betweenness, closeness) can be extended to the case of temporal networks. In this article we broaden the scope of centrality measures in temporal networks to centrality measures 
Batagelj, Vladimir, Praprotnik, Selena
openaire   +2 more sources

Measuring central venous pressure

Nursing Standard, 2007
Central venous pressure measurement is often associated with intensive and critical care settings. However, with increasing numbers of critically ill patients being cared for on medical and surgical wards, it is essential that nursing staff are able to record central venous pressure measurement accurately and recognise normal and abnormal parameters as
openaire   +2 more sources

Operational measures of central tendency

Applied Mathematics and Computation, 2007
The shifting operator provides new formulas for estimating the center of data obtained by repeated attempts to measure a response. The data are sorted by magnitude and the estimates are based on polynomial- and exponential-type formulas. The estimators are easy to apply. On known examples they can be more accurate than the mean and the median.
openaire   +1 more source

Perturbation Analysis of Centrality Measures

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
Natalia Meshcheryakova, Sergey Shvydun
openaire   +1 more source

Centrality Measures

2021
Bogumił Kamiński   +2 more
openaire   +1 more source

Discriminating Power of Centrality Measures in Complex Networks

IEEE Transactions on Cybernetics, 2022
Qi Bao, Zhongzhi Zhang
exaly  

Measures of central tendency and measures of dispersion

1997
The previous two chapters looked at ways of describing data in tabular and graphical form. These forms of describing data give some sense of the overall distribution of cases. However, we sometimes want to capture something a little more specific about the data: what does the ‘typical’ or ‘average’ case look like?
openaire   +1 more source

Measures of Central Tendency

1968
H. MULHOLLAND, C.R. JONES
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Convex combinations of centrality measures

Journal of Mathematical Sociology, 2021
Kiam Heong Kwa
exaly  

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