data farming process and initial network analysis capabilities

Clicks: 173
ID: 177622
2016
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Abstract
Data Farming, network applications and approaches to integrate network analysis and processes to the data farming paradigm are presented as approaches to address complex system questions. Data Farming is a quantified approach that examines questions in large possibility spaces using modeling and simulation. It evaluates whole landscapes of outcomes to draw insights from outcome distributions and outliers. Social network analysis and graph theory are widely used techniques for the evaluation of social systems. Incorporation of these techniques into the data farming process provides analysts examining complex systems with a powerful new suite of tools for more fully exploring and understanding the effect of interactions in complex systems. The integration of network analysis with data farming techniques provides modelers with the capability to gain insight into the effect of network attributes, whether the network is explicitly defined or emergent, on the breadth of the model outcome space and the effect of model inputs on the resultant network statistics.
Reference Key
horne2016axiomsdata Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Gary Horne;Theodore Meyer
Journal case reports in gastrointestinal medicine
Year 2016
DOI
10.3390/axioms5010004
URL
http://www.mdpi.com/2075-1680/5/1/4
Keywords
Simulation modeling social networks network analysis

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