activity
20142023
most citedReconstructing propagation networks with natural diversity and identifying hidden sources

219 citations · 707 across the 13 of their papers we have counts for

collaborators
Showing 2015 · physics.soc-phShow all

5 papers · 2 filters

physics.soc-ph2015★ 38 cited

A universal data based method for reconstructing complex networks with binary-state dynamics

Jingwen Li, Zhesi Shen, Wen-Xu Wang +2

To understand, predict, and control complex networked systems, a prerequisite is to reconstruct the network structure from observable data. Despite recent progress in network recon…

physics.soc-ph2015

Fundamental building blocks of controlling complex networks: A universal controllability framework

Zhesi Shen, Wen-Xu Wang, Chen Zhao +1

To understand the controllability of complex networks is a forefront problem relevant to different fields of science and engineering. Despite recent advances in network controllabi…

physics.soc-ph2015★ 2 cited

Interrelations among scientific fields and their relative influence revealed by input-output analysis

Zhesi Shen, Liying Yang, Jiansuo Pei +7

In this paper, we try to answer two questions about any given scientific discipline: First, how important is each subfield and second, how does a specific subfield influence other…

physics.soc-ph2015★ 178 cited

Robust Reconstruction of Complex Networks from Sparse Data

Xiao Han, Zhesi Shen, Wen-Xu Wang +1

Reconstructing complex networks from measurable data is a fundamental problem for understanding and controlling collective dynamics of complex networked systems. However, a signifi…

physics.soc-ph2015★ 108 cited

Locating the source of diffusion in complex networks by time-reversal backward spreading

Zhesi Shen, Shinan Cao, Wen-Xu Wang +2

Locating the source that triggers a dynamical process is a fundamental but challenging problem in complex networks, ranging from epidemic spreading in society and on the Internet t…