Scalable detection of statistically significant communities and hierarchies, using message passing for modularity
Pan Zhang; Cristopher Moore · 2014 · Proceedings of the National Academy of Sciences
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Modularity is a popular measure of community structure. However, maximizing the modularity can lead to many competing partitions, with almost the same modularity, that are poorly correlated with each other. It can also produce illusory…
Excerpt shown for reference under fair use — read the full paper at the publisher.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Scale-free networks are rare.
Negative / Null Result ReportScale-free networks are rare
Negative / Null Result ReportDark Matter Search Results from the CDMS II Experiment
Negative / Null Result ReportDetection of a gamma-ray source in the Galactic Center consistent with extended emission from dark matter annihilation and concentrated astrophysical emission
Negative / Null Result ReportTransient Water Vapor at Europa’s South Pole
Negative / Null Result ReportThe NANOGrav 11 Year Data Set: Pulsar-timing Constraints on the Stochastic Gravitational-wave Background
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1073/pnas.1409770111