The effect of local majority on global majority in connected graphs
Yair Caro, Raphael Yuster

TL;DR
This paper investigates how local majority conditions on small subgraphs influence the global majority in infinite families of connected graphs, classifying the forcing behavior of different subgraph sizes across various graph classes.
Contribution
It introduces a classification framework for the influence of local majority on global majority in connected graphs, analyzing forcing, weakly forcing, and collapsing behaviors for different subgraph sizes.
Findings
Classifies forcing behavior for all connected graphs.
Analyzes forcing for graphs with bounded maximum degree.
Studies forcing for graphs with fixed average degree.
Abstract
Let be an infinite family of connected graphs and let be a positive integer. We say that is for if for all but finitely many, the following holds. Any -weighing of the edges of for which all connected subgraphs on edges are positively weighted implies that is positively weighted. Otherwise, we say that it is for if any such weighing implies that the weight of is bounded from below by a constant. Otherwise we say that for . We classify for some of the most prominent classes of graphs, such as all connected graphs, all connected graphs with a given maximum degree and all connected graphs with a given average degree.
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Network Analysis Techniques · Social Media and Politics
