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2018
AbstractDefining the centrality of nodes and layers in multilayer networks is of fundamental importance for a variety of applications from sociology to biology and finance. This chapter presents the state-of-the-art centrality measures able to characterize the centrality of nodes, the influences of layers or the centrality of replica nodes in ...
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AbstractDefining the centrality of nodes and layers in multilayer networks is of fundamental importance for a variety of applications from sociology to biology and finance. This chapter presents the state-of-the-art centrality measures able to characterize the centrality of nodes, the influences of layers or the centrality of replica nodes in ...
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Measuring central venous pressure
Nursing Standard, 2007Central 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
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Network Science, 2014
AbstractIn this paper we examine natural generalizations of four widely used centrality measures to subgroups of nodes in a network. This allows for a division into local and global influence. As an example, we analyze a classic network and discuss previously hidden features made visible by these new techniques. Network-wide measures and centralization
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AbstractIn this paper we examine natural generalizations of four widely used centrality measures to subgroups of nodes in a network. This allows for a division into local and global influence. As an example, we analyze a classic network and discuss previously hidden features made visible by these new techniques. Network-wide measures and centralization
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Centrality Measures for Text Clustering
Communications in Statistics - Theory and Methods, 2012Text clustering is an unsupervised process of classifying texts and words into different groups. In literature, many algorithms use a bag of words model to represent texts and classify contents. The bag of words model assumes that word order has no signicance.
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Journal of Mathematical Chemistry, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Measuring Central Bank Communication: [PDF]
, 2008 We present a new automated, objective and intuitive scoring method to measure the content of central bank communication about future policy rate moves. We apply the methodology to statements released by the Federal Open Market Commitee (FOMC) after monetary policy meetings.
David Lucca, Francesco Trebbi
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MEASUREMENT OF CENTRAL VENOUS PRESSURE
The Lancet, 1969R D, Marshall, R, Miller
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