Results 261 to 270 of about 2,889,825 (317)
Modelling healthy ageing in South Africa: a network analysis of intrinsic capacities. [PDF]
Age AgeingEjike Ugwu L, Sunday Idemudia E.
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Statistica Sinica, 2021
Summary: Owing to the rapid development of social networking sites, the spatial autoregressive (SAR) model plays an important role in social network studies. However, the underlying structure of the SAR model implicitly assumes that all nodes (or actors or users) within the network have the same influential power, measured by the common autocorrelation
Zou, Tao +3 more
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Summary: Owing to the rapid development of social networking sites, the spatial autoregressive (SAR) model plays an important role in social network studies. However, the underlying structure of the SAR model implicitly assumes that all nodes (or actors or users) within the network have the same influential power, measured by the common autocorrelation
Zou, Tao +3 more
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2021
There are often multiple potential interventions to treat a disease; therefore, we need a method for simultaneously comparing and ranking all of these available interventions. In contrast to pairwise meta-analysis, which allows for the comparison of one intervention to another based on head-to-head data from randomized trials, network meta-analysis ...
Jennifer, Watt, Cinzia, Del Giovane
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There are often multiple potential interventions to treat a disease; therefore, we need a method for simultaneously comparing and ranking all of these available interventions. In contrast to pairwise meta-analysis, which allows for the comparison of one intervention to another based on head-to-head data from randomized trials, network meta-analysis ...
Jennifer, Watt, Cinzia, Del Giovane
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Network visualization and network analysis
2007Network analysis of living systems is an essential component of contemporary systems biology. It is targeted at assemblance of mutual dependences between interacting systems elements into an integrated view of whole-system functioning. In the following chapter we describe the existing classification of what is referred to as biological networks and ...
Nikiforova, V., Willmitzer, L.
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Controllability analysis of networks
Physical Review E, 2007The concept of controllability of linear systems from control theory is applied to networks inspired by biology. A node is in this context controllable if an external signal can be applied which can adjust the level (e.g., protein concentration) of the node in a finite time to an arbitrary value, regardless of the levels of the other nodes.
Anna, Lombardi, Michael, Hörnquist
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Encyclopedia with Semantic Computing and Robotic Intelligence, 2018
Online Analytical Processing (OLAP) is an effective approach to analyzing various complex business problems, and graph is considered as a common scheme to represent the business datasets. Network analysis is a broad analytics scheme for exploring the connectivity and deriving useful analytics results.
Jennifer Jin, Masahiro Hayakawa
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Online Analytical Processing (OLAP) is an effective approach to analyzing various complex business problems, and graph is considered as a common scheme to represent the business datasets. Network analysis is a broad analytics scheme for exploring the connectivity and deriving useful analytics results.
Jennifer Jin, Masahiro Hayakawa
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STOICHIOMETRIC NETWORK ANALYSIS
Cell Biophysics, 1988Stoichiometric network analysis is a systematic, general approach to the qualitative, nonlinear dynamics of chemical reaction mechanisms and other systems with stoichiometry. The advantage of a qualitative approach is that no rate constants are needed to determine qualitative features of the dynamics.
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2010 IEEE International Conference on Intelligence and Security Informatics, 2010
We present a technique to represent the structure of large social networks through ego-centered network neighborhoods. This provides a local view of the network, focusing on the vertices and their kth order neighborhoods allowing discovery of interesting patterns and features of the network that would be hidden in a global network analysis.
Michael D. Porter, Ryan Smith
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We present a technique to represent the structure of large social networks through ego-centered network neighborhoods. This provides a local view of the network, focusing on the vertices and their kth order neighborhoods allowing discovery of interesting patterns and features of the network that would be hidden in a global network analysis.
Michael D. Porter, Ryan Smith
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