activity
20162023
most citedGeometric renormalization unravels self-similarity of the multiscale human connectome

94 citations · 264 across the 10 of their papers we have counts for

collaborators

10 papers

physics.soc-ph2023★ 1 cited

Geometric renormalization of weighted networks

Muhua Zheng, Guillermo García-Pérez, Marián Boguñá +1

The geometric renormalization technique for complex networks has successfully revealed the multiscale self-similarity of real network topologies and can be applied to generate repl…

physics.bio-ph2022★ 9 cited

Noise-induce coexisting firing patterns in hybrid-synaptic interacting networks

Xinyi Wang, Xiyun Zhang, Muhua Zheng +2

Synaptic noise plays a major role in setting up coexistence of various firing patterns, but the precise mechanisms whereby these synaptic noise contributes to coexisting firing act…

q-bio.PE2021★ 43 cited

Epidemic spreading under mutually independent intra- and inter-host pathogen evolution

Xiyun Zhang, Zhongyuan Ruan, Muhua Zheng +3

The dynamics of epidemic spreading is often reduced to the single control parameter , whose value, above or below unity, determines the state of the contagion. If, however, th…

physics.soc-ph2019★ 3 cited

Scaling up real networks by geometric branching growth

Muhua Zheng, Guillermo García-Pérez, Marián Boguñá +1

Real networks often grow through the sequential addition of new nodes that connect to older ones in the graph. However, many real systems evolve through the branching of fundamenta…

physics.soc-ph2019★ 94 cited

Geometric renormalization unravels self-similarity of the multiscale human connectome

Muhua Zheng, Antoine Allard, Patric Hagmann +2

Structural connectivity in the brain is typically studied by reducing its observation to a single spatial resolution. However, the brain possesses a rich architecture organized ove…

physics.soc-ph2018★ 15 cited

Double transition of information spreading in a two-layered network

Jiao Wu, Muhua Zheng, Wei Wang +2

A great deal of significant progress has been seen in the study of information spreading on populations of networked individuals. A common point in many of past studies is that the…

physics.soc-ph2017★ 23 cited

Correlated network of networks enhances robustness against catastrophic failures

Byungjoon Min, Muhua Zheng

Networks in nature rarely function in isolation but instead interact with one another with a form of a network of networks (NoN). A network of networks with interdependency between…

physics.soc-ph2017★ 37 cited

A model of spreading of sudden events on social networks

Jiao Wu, Muhua Zheng, Zi-Ke Zhang +3

Information spreading has been studied for decades, but its underlying mechanism is still under debate, especially for those ones spreading extremely fast through Internet. By focu…

physics.soc-ph2017★ 22 cited

Multiple peaks patterns of epidemic spreading in multi-layer networks

Muhua Zheng, Wei Wang, Ming Tang +3

The study of epidemic spreading on populations of networked individuals has seen recently a great deal of significant progresses. A common point of all past studies is, however, th…

physics.soc-ph2016★ 17 cited

Synchronized and mixed outbreaks of coupled recurrent epidemics

Muhua Zheng, Ming Zhao, Byungjoon Min +1

Epidemic spreading has been studied for a long time and most of them are focused on the growing aspect of a single epidemic outbreak. Recently, we extended the study to the case of…