Limits for Rumor Spreading in stochastic populations
Lucas Boczkowski, Ofer Feinerman, Amos Korman, Emanuele, Natale

TL;DR
This paper investigates how communication noise impacts rumor spreading in biological-like populations, revealing that noise severely limits efficiency unless the system has structural stability or noise-resistant communication features.
Contribution
It provides a theoretical lower bound showing noise prevents efficient rumor spreading in amorphous systems, and demonstrates an exponential separation between PUSH and PULL models under noise.
Findings
No significant improvement over trivial spreading under moderate noise.
Exponential separation between PUSH and PULL models with noise.
Empirical analysis of desert ant recruitment supports theoretical results.
Abstract
Biological systems can share and collectively process information to yield emergent effects, despite inherent noise in communication. While man-made systems often employ intricate structural solutions to overcome noise, the structure of many biological systems is more amorphous. It is not well understood how communication noise may affect the computational repertoire of such groups. To approach this question we consider the basic collective task of rumor spreading, in which information from few knowledgeable sources must reliably flow into the rest of the population. In order to study the effect of communication noise on the ability of groups that lack stable structures to efficiently solve this task, we consider a noisy version of the uniform PULL model. We prove a lower bound which implies that, in the presence of even moderate levels of noise that affect all facets of the…
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