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Network Influence Analysis

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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Network Analysis

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
  +5 more sources

Network Meta-Analysis

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.
openaire   +3 more sources

Alumni network analysis

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
openaire   +3 more sources

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