Heider Balance under Disordered Triadic Interactions
M. Bagherikalhor, A. Kargaran, A. H. Shirazi, G. R. Jafari

TL;DR
This paper investigates how weighted triadic interactions influence the evolution of social networks towards balance, revealing phase transitions and a pseudo-Kondo effect depending on the level of disorder in weights.
Contribution
It introduces a weighted Heider balance model with Gaussian-distributed triad weights and analyzes its phase transition behavior under different disorder regimes.
Findings
Weak disorder leads to global minimum at low temperatures.
Strong disorder results in a pseudo-Kondo effect and prevents reaching global minimum.
Disorder significantly affects the critical temperature of the system.
Abstract
The Heider balance addresses three-body interactions with the assumption that triads are equally important in the dynamics of the network. In many networks, the relations do not have the same strength so, triads are differently weighted. Now, the question is how social networks evolve to reduce the number of unbalanced triangles when they are weighted? Are the results foreseeable based on what we have already learned from the unweighted balance? To find the solution, we consider a fully connected network in which triads are assigned with different random weights. Weights are coming from Gaussian probability distribution with mean and variance . We study this system in two regimes : (\RN{1}) the ratio of corresponds to weak disorder (small variance) that triads' weight are approximately the same, (\RN{2}) counts for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
