Glossary
- Random variable:
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A variable whose value may vary due to random behavior and hence is assigned a stochastic value
- Graphical model:
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A graph composed of nodes and edges, in which the nodes are typically random variables and an edge represents a direct dependency between two nodes
- Topology:
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The abstract structure of a graphical model, e.g., the configuration of the nodes and edges
- Conditional probability:
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The value of a random variable is dependent or conditioned on the value of one or more other random variables
- Conditional independence:
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Knowledge of the value of a random variable can make other variables independent of each other, depending on the graph topology
- Parameters:
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The numerical values associated with a graphical model. In most cases, this is a prior probability or a conditional probability
- Problem graph:
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A graphical model that contains...
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Acknowledgments
Some of the described research is funded by DARPA grant #D11PC20150. Thanks to Pietro Michelucci at Strategic Analysis, Inc. for helping to make this work possible. Also thanks to Thomas Young at Social Logic Institute for his contributions to the project.
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Greene, K.A., Kniss, J.M., Garcia, S.S. (2017). Creating a Space for Collective Problem-Solving. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_102001-1
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DOI: https://doi.org/10.1007/978-1-4614-7163-9_102001-1
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