Second to first order phase transition; coevolutionary versus structural balance
M. Ghanbarzadeh Noudehi, A. Kargaran, N. Azimi-Tafreshi, G. R. Jafari

TL;DR
This paper investigates how combining local coevolutionary and global structural balance interactions in social networks affects phase transition types, revealing a tricritical point and temperature-dependent dominance of local versus global effects.
Contribution
It introduces a combined model of coevolutionary and structural balance, analyzing their interplay and phase transition behavior using statistical mechanics and simulations.
Findings
Identification of a phase diagram showing competition between local and global interactions.
Discovery of a tricritical point where phase transition type changes.
Observation that local interactions dominate at low temperatures, global at high temperatures.
Abstract
In social networks, the balance theory has been studied by considering either the triple interactions between the links (structural balance) or the triple interaction of nodes and links (coevolutionary balance). In the structural balance theory, the links are not independent from each other, implying a global effect of this term and it leads to a discontinuous phase transition in the system's balanced states as a function of temperature. However, in the coevolutionary balance the links only connect two local nodes and a continuous phase transition emerges. In this paper, we consider a combination of both in order to understand which of these types of interactions will identify the stability of the network. We are interested to see how adjusting the robustness of each term versus the other might affect the system to reach a balanced state. We use statistical mechanics methods and the…
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