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PAPER OPEN ACCESSInferring monopartite projections of bipartite
networks: an entropy based approach
To cite this article: Fabio Aramco et al. 2017 New J. Phys. 19 053022View the article online for
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What is inference of monopartite networks?
Inference of monopartite networks refers to the analysis and interpretation of networks where there is a single type of entity, allowing for the study of relationships and interactions among these entities.
Who is required to file inference of monopartite networks?
Organizations and researchers that analyze monopartite networks for academic or regulatory purposes are typically required to file an inference.
How to fill out inference of monopartite networks?
To fill out inference of monopartite networks, one must gather data on the entities and their relationships, analyze this data, and document the findings in the required format.
What is the purpose of inference of monopartite networks?
The purpose of inference of monopartite networks is to identify patterns, relationships, and insights within a set of similar entities, helping in decision-making and strategy formulation.
What information must be reported on inference of monopartite networks?
The reported information should include the entities involved, their relationships, methodologies used in analysis, and key findings or insights obtained.
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