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20152026
most citedSpreading dynamics of information on online social networks

30 citations · 52 across the 11 of their papers we have counts for

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Showing physics.soc-phShow all

12 papers · 1 filter

physics.soc-ph2026

Effective Graph Resistance as Cumulative Heat Dissipation

Xiangrong Wang, Xin Yu, Zongze Wu +1

Effective graph resistance is a fundamental structural metric in network science, widely used to quantify global connectivity, compare network architectures, and assess robustness…

physics.soc-ph2025

Directionality-induced jamming in multiplex networks

Mateo Bouchet, Alejandro Tejedor, Xiangrong Wang +1

We study diffusion on multiplex networks with directed interlayer couplings. We demonstrate both numerically and analytically that even with undirected layers, interlayer direction…

physics.soc-ph2025

Predicting the critical behavior of complex dynamic systems via learning the governing mechanisms

Xiangrong Wang, Dan Lu, Zongze Wu +4

Critical points separate distinct dynamical regimes of complex systems, often delimiting functional or macroscopic phases in which the system operates. However, the long-term predi…

physics.soc-ph2025★ 30 cited

Spreading dynamics of information on online social networks

Fanhui Meng, Jiarong Xie, Jiachen Sun +7

Social media is profoundly changing our society with its unprecedented spreading power. Due to the complexity of human behaviors and the diversity of massive messages, the informat…

physics.soc-ph2021

Interspecific competition shapes the structural stability of mutualistic networks

Xiangrong Wang, Thomas Peron, Johan L. A. Dubbeldam +2

Mutualistic networks have attracted increasing attention in the ecological literature in the last decades as they play a key role in the maintenance of biodiversity. Here, we devel…

physics.soc-ph2020★ 2 cited

Induced Percolation on Networked Systems

Jiarong Xie, Xiangrong Wang, Ling Feng +3

Percolation theory has been widely used to study phase transitions in complex networked systems. It has also successfully explained several macroscopic phenomena across different f…

physics.soc-ph2020

Unique superdiffusion induced by directionality in multiplex networks

Xiangrong Wang, Alejandro Tejedor, Yi Wang +1

The multilayer network framework has served to describe and uncover a number of novel and unforeseen physical behaviors and regimes in interacting complex systems. However, the maj…

physics.soc-ph2020

Efficient algorithm based on non-backtracking matrix for community detection in signed networks

Zhaoyue Zhong, Xiangrong Wang, Cunquan Qu +1

Community detection or clustering is a crucial task for understanding the structure of complex systems. In some networks, nodes are permitted to be linked by either "positive" or "…

physics.soc-ph2019

Directionality reduces the impact of epidemics in multilayer networks

Xiangrong Wang, Alberto Aleta, Dan Lu +1

The study of how diseases spread has greatly benefited from advances in network modeling. Recently, a class of networks known as multilayer graphs has been shown to describe more a…

physics.soc-ph2018★ 3 cited

Structural transition in interdependent networks with regular interconnections

Xiangrong Wang, Robert E. Kooij, Yamir Moreno +1

Networks are often made up of several layers that exhibit diverse degrees of interdependencies. A multilayer interdependent network consists of a set of graphs that are interco…

physics.soc-ph2015★ 11 cited

Quantifying the robustness of metro networks

Xiangrong Wang, Yakup Koç, Sybil Derrible +2

Metros (heavy rail transit systems) are integral parts of urban transportation systems. Failures in their operations can have serious impacts on urban mobility, and measuring their…

physics.soc-ph2015★ 6 cited

A network approach for power grid robustness against cascading failures

Xiangrong Wang, Yakup Koç, Robert E. Kooij +1

Cascading failures are one of the main reasons for blackouts in electrical power grids. Stable power supply requires a robust design of the power grid topology. Currently, the impa…