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Retraction Note: detangling PPI networks to uncover functionally meaningful clusters.
Sarah Hall-Swan1, Jake Crawford1, Rebecca Newman1
1Department of Computer Science, Tufts University, Medford, MA, 02155, USA.
BMC Systems Biology
|November 21, 2018
Summary
This study on network analysis has been retracted due to a technical error in the Louvain algorithm. The corrected results invalidate the original findings and conclusions.
Area of Science:
- Network analysis
- Computational social science
- Data mining
Background:
- The Louvain algorithm is a popular method for community detection in networks.
- Bounded cluster sizes can affect the performance of community detection algorithms.
Purpose of the Study:
- To present findings from a network analysis using the Louvain algorithm with bounded cluster sizes.
- To evaluate the impact of bounded cluster sizes on community detection.
Main Methods:
- Application of the Louvain algorithm with specific constraints on cluster sizes.
- Analysis of network structures and community detection outcomes.
Main Results:
- A technical error was identified in the implementation of the Louvain algorithm with bounded cluster sizes.
- Correction of the error led to substantial changes in the algorithm's results.
Conclusions:
- The original conclusions drawn from the network analysis were incorrect due to the technical error.
- The study has been retracted, and a revised manuscript will be submitted for peer review.
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