e-ISSN: Pending
Negative / Null Result ReportPhysics and Astronomy· cited by 9

Detecting Statistically Significant Communities

Zengyou He; Hao Liang; Zheng Chen; Can Zhao; Yan Liu · 2020 · IEEE Transactions on Knowledge and Data Engineering

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)

Community detection is a key data analysis problem across different fields. During the past decades, numerous algorithms have been proposed to address this issue. However, most work on community detection does not address the issue of…

Excerpt shown for reference under fair use — read the full paper at the publisher.

Read full paper at publisher

Hosted by the publisher — may require access.

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.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.1109/tkde.2020.3015667