Simulations show information overload decreases source localization effectiveness in networks, with Erdős-Rényi graphs more resilient than Barabási-Albert ones and a reversal where less dense networks perform better under strong overload.
Business Research 12, 479–522
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Gini index of BERTopic topic distributions on COVID-19 Reddit data shows significant global correlation with fake news fraction but ambiguous results at community level.
citing papers explorer
-
Nonlinear dynamics of information overload: Impact on source localization in complex networks
Simulations show information overload decreases source localization effectiveness in networks, with Erdős-Rényi graphs more resilient than Barabási-Albert ones and a reversal where less dense networks perform better under strong overload.
-
Quantifying correlations between information overload and fake news during COVID-19 pandemic: a Reddit study with BERT model approach
Gini index of BERTopic topic distributions on COVID-19 Reddit data shows significant global correlation with fake news fraction but ambiguous results at community level.