Discontinuous phase transitions in the q-voter model with generalized anticonformity on random graphs
Angelika Abramiuk-Szurlej, Arkadiusz Lipiecki, Jakub Paw{\l}owski and, Katarzyna Sznajd-Weron

TL;DR
This study investigates whether discontinuous phase transitions in a generalized q-voter model with anticonformity persist on random graphs similar to social networks, using simulations and pair approximation methods.
Contribution
It demonstrates that discontinuous phase transitions can occur on random graphs with moderate connectivity, extending previous mean-field results and analyzing the accuracy of approximation methods.
Findings
Discontinuous phase transitions survive on random graphs with average degree up to 150.
Pair approximation aligns with Monte Carlo results for certain parameter ranges.
The difference between spinodals follows a power law relative to average degree.
Abstract
We study the binary -voter model with generalized anticonformity on random Erd\H{o}s-R\'enyi graphs. In such a model, two types of social responses, conformity and anticonformity, occur with complementary probabilities and the size of the source of influence in case of conformity is independent from the size of the source of influence in case of anticonformity. For the model reduces to the original -voter model with anticonformity. Previously, such a generalized model was studied only on the complete graph, which corresponds to the mean-field approach. It was shown that it can display discontinuous phase transitions for , where for and for . In this paper, we pose the question if discontinuous phase transitions survive on random graphs with an average node degree …
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