Results 141 to 150 of about 7,073,257 (192)
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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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2022
AbstractNetwork analysis has helped the field of organization theories (OTs) take a relational turn. Over the past 25 years, various forms of network analysis have been developed to produce knowledge around a specific type of network. On one end of the spectrum, social network analysis aims to explain the centrality or power positions of individual in ...
Rebecca A. Chalmers +2 more
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AbstractNetwork analysis has helped the field of organization theories (OTs) take a relational turn. Over the past 25 years, various forms of network analysis have been developed to produce knowledge around a specific type of network. On one end of the spectrum, social network analysis aims to explain the centrality or power positions of individual in ...
Rebecca A. Chalmers +2 more
+5 more sources
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 ...
Watt J., Del Giovane C.
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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 ...
Watt J., Del Giovane C.
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2011 IEEE Global Engineering Education Conference (EDUCON), 2011
Alumni connections are important resources that contribute to university evaluation. Even though alumni connections represent networks, they have been mostly evaluated as tabular data (e.g. by providing average salary, employment rate, etc.). This ironically disregards all qualities of a network, from which an alumni network gets its name.
Rubens, N. +7 more
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Alumni connections are important resources that contribute to university evaluation. Even though alumni connections represent networks, they have been mostly evaluated as tabular data (e.g. by providing average salary, employment rate, etc.). This ironically disregards all qualities of a network, from which an alumni network gets its name.
Rubens, N. +7 more
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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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Automating network meta‐analysis
Research Synthesis Methods, 2012Mixed treatment comparison (MTC) (also called network meta‐analysis) is an extension of traditional meta‐analysis to allow the simultaneous pooling of data from clinical trials comparing more than two treatment options. Typically, MTCs are performed using general‐purpose Markov chain Monte Carlo software such as WinBUGS, requiring a model and data to ...
van Valkenhoef, Gert +5 more
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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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2011
The book presents some key mathematical tools for the performance analysis of communication networks and computer systems.Communication networks and computer systems have become extremely complex. The statistical resource sharing induced by the random behavior of users and the underlying protocols and algorithms may affect Quality of Service.This book ...
Bonald, Thomas, Feuillet, Mathieu
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The book presents some key mathematical tools for the performance analysis of communication networks and computer systems.Communication networks and computer systems have become extremely complex. The statistical resource sharing induced by the random behavior of users and the underlying protocols and algorithms may affect Quality of Service.This book ...
Bonald, Thomas, Feuillet, Mathieu
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International Communication Gazette, 2011
Structures of interest, influence and power in communication policy are shifting due to increasing digitization, economization and globalization. Against this background it is necessary to reflect more than before upon methods to study the relations between actors and their potential influences on regulation processes. The article explains qualitative
Maria Löblich, Senta Pfaff-Rüdiger
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Structures of interest, influence and power in communication policy are shifting due to increasing digitization, economization and globalization. Against this background it is necessary to reflect more than before upon methods to study the relations between actors and their potential influences on regulation processes. The article explains qualitative
Maria Löblich, Senta Pfaff-Rüdiger
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2014
Abstract This chapter illustrates social network analysis (SNA), offering empirical examples of how to apply this method in social movement research. The introduction gives an overview of the theoretical background of SNA, discussing the main characteristics, as well as the advantages and challenges of this approach.
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Abstract This chapter illustrates social network analysis (SNA), offering empirical examples of how to apply this method in social movement research. The introduction gives an overview of the theoretical background of SNA, discussing the main characteristics, as well as the advantages and challenges of this approach.
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