activity
20132022
most citedGinzburg-Landau Theory of Dark Energy: A Framework to Study Both Temporal and Spatial Cosmological Tensions Simultaneously

79 citations · 288 across the 12 of their papers we have counts for

collaborators

12 papers

physics.soc-ph2022★ 5 cited

Modified Heider Balance on Sparse Random Networks

R. Masoumi, F. Oloomi, S. Sajjadi +2

The lack of signed random networks in standard balance studies has prompted us to extend the Hamiltonian of the standard balance model. Random networks with tunable parameters are…

physics.soc-ph2020★ 16 cited

Heider Balance under Disordered Triadic Interactions

M. Bagherikalhor, A. Kargaran, A. H. Shirazi +1

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 ha…

q-bio.MN2020

Stability of Imbalanced Triangles in Gene Regulatory Networks of Cancerous and Normal Cells

Abbas Karimi Rizi, Mina Zamani, Amirhossein Shirazi +2

Genes communicate with each other through different regulatory effects, which lead to the emergence of complex structures in cells, and such structures are expected to be different…

physics.soc-ph2019★ 51 cited

Mean-field solution of structural balance dynamics in nonzero temperature

F. Rabbani, Amir H. Shirazi, G. R. Jafari

In signed networks with simultaneous friendly and hostile interactions, there is a general tendency to a global structural balance, based on the dynamical model of links status. Al…

astro-ph.CO2018★ 79 cited

Ginzburg-Landau Theory of Dark Energy: A Framework to Study Both Temporal and Spatial Cosmological Tensions Simultaneously

Abdolali Banihashemi, Nima Khosravi, Amir H. Shirazi

A dark energy model (DE) is proposed based on Ginzburg-Landau theory of phase transition (GLT). This model, GLTofDE, surprisingly provides a framework to study not only temporal te…

astro-ph.CO2018★ 70 cited

Ups and Downs in Dark Energy: phase transition in dark sector as a proposal to lessen cosmological tensions

Abdolali Banihashemi, Nima Khosravi, Amir H. Shirazi

Based on tensions between the early and late time cosmology, we proposed a double valued cosmological constant which could undergo a phase transition in its history. It is named "d…

physics.soc-ph2017

Non-criticality of interaction network over system's crises: A percolation analysis

Amir Hossein Shirazi, Abbas Ali Saberi, Ali Hosseiny +2

Extraction of interaction networks from multi-variate time-series is one of the topics of broad interest in complex systems. Although this method has a wide range of applications,…

physics.soc-ph2017★ 50 cited

Fractional Dynamics of Network Growth Constrained by aging Node Interactions

Hadiseh Safdari, Milad Zare Kamali, Amirhossein Shirazi +3

In many social complex systems, in which agents are linked by non-linear interactions, the history of events strongly influences the whole network dynamics. However, a class of "co…

physics.soc-ph2016

The emergence of pseudo-stable states in network dynamics

L. Hedayatifar, F. Hassanibesheli, A. H. Shirazi +2

In the context of network dynamics, the complexity of systems increases possible evolutionary paths that often are not deterministic. Occasionally, some map routs form over the cou…

physics.soc-ph2015

History effects on network growth

Hadiseh Safdari, Milad Zare Kamali, Amir Hossein Shirazi +2

Growth dynamic of real networks because of emerging complexities is an open and interesting question. Indeed it is not realistic to ignore history impact on the current events. The…

physics.soc-ph2013★ 1 cited

Transparency effect in the emergence of monopolies in social networks

A. H. Shirazi, A. Namaki, A. A. Roohi +1

Power law degree distribution was shown in many complex networks. However, in most real systems, deviation from power-law behavior is observed in social and economical networks and…

physics.data-an2013★ 16 cited

Coupling between time series: a network view

Saeed Mehraban, Amirhossein Shirazi, Maryam Zamani +1

Recently, the visibility graph has been introduced as a novel view for analyzing time series, which maps it to a complex network. In this paper, we introduce new algorithm of visib…