arXiv subjects

Razieh Masoumi

Publications and source records attributed to Razieh Masoumi.

3 recordsLinked to original sources

arXiv2026

Regimes of Influence under Trust-Distrust Gating

In many social communities, individuals can simultaneously trust and distrust the same source, a feature standard opinion-dynamics models often ignore. We formalize this ambivalence with Gated Network Credence, in which each directed relationship encodes distinct trust and distrust assessments. These jointly determine "net trust" -- the willingness to rely on a source -- and "uncertainty" -- the conflict between trust and distrust within the same relationship. Agents update beliefs only when net trust exceeds a threshold and uncertainty falls below another, yielding an effective influence graph whose topology drives long-run belief states. Sweeping both thresholds uncovers four regimes -- Accommodating, Evaluative, Friction-averse, and Guarded -- that differ in openness to trust and conflict. Under the modeled family of trust-distrust coupling and prestige-biased trust allocation, the model exhibits a hub-periphery reversal: in the Evaluative regime, high-degree agents contribute more strongly to the limiting belief, whereas in the Friction-averse regime, stringent uncertainty filtering can disproportionately remove hub-directed influence channels and reduce their contribution to the collective equilibrium. This conditional pattern recurs across synthetic network topologies and two empirical network evaluations. Our results show that belief dynamics depend not only on network structure but also on how relational ambivalence between trust and distrust gates interpersonal influence.

physics.soc-ph↗

arXiv2025

Simple crowd dynamics to generate complex temporal contact networks

Empirical contact networks or interaction networks demonstrate peculiar characteristics stemming from the fundamental social, psychological, physical mechanisms governing human interactions. Although these mechanisms are complex, we test whether we are able to reproduce some dynamical properties of these empirical networks from relatively simple models. In this study, we perform simulations for a range of 2D models of particle dynamics, namely the Random Walk, Active Brownian Particles, and Vicsek models, to generate artificial contact networks. We investigate temporal properties of these contact networks: the distributions of contact durations, inter-contact durations and number of contact per pair of particle. We demonstrate that the distribution of inter-contact durations can be recovered by the dynamics of these simple crowd particle models, and show that it is simply related to the well-know first-return process, which explains the -3/2 exponent that is found in both the numerical models and empirical contact networks.

physics.soc-ph↗

arXiv2021

Competitive Balance Theory: Modeling conflict of interest in a heterogeneous network

The dynamics of networks on Heider balance theory moves toward reducing the tension by constantly reevaluating the interactions to achieve a state of balance. Conflict of interest, however, is inherent in most complex systems; frequently, there are multiple ideals or states of balance, and moving towards one could work against another. In this paper, by introducing the competitive balance theory, we study the evolution of balance in the presence of conflicts of interest. In our model, the assumption is that different states of balance compete in the evolution process to dominate the system. We ask, whether, through these interactions, different states of balance compete to prevail their own ideals or a set of co-existing ideals in a balanced condition is a possible outcome. The results show that although there is a symmetry in the type of balance, the system either evolves towards a symmetry breaking where one of the states of balance dominates the system, or, less frequently, the competing states of balance co exist in a jammed state.

physics.soc-ph↗