activity
20092021
most citedEmergence of bimodality in controlling complex networks

228 citations · 843 across the 23 of their papers we have counts for

collaborators
Showing physics.soc-phShow all

9 papers · 1 filter

physics.soc-ph2021★ 7 cited

A novel similarity measure for mining missing links in long-path networks

Yijun Ran, Tianyu Liu, Tao Jia +1

Network information mining is the study of the network topology, which answers a large number of application-based questions towards the structural evolution and the function of a…

physics.soc-ph2021★ 6 cited

The network asymmetry caused by the degree correlation and its effect on the bimodality in control

Xiaoyao Yu, Yongqing Liang, Xiaomeng Wang +1

Our ability to control a whole network can be achieved via a small set of driver nodes. While the minimum number of driver nodes needed for control is fixed in a given network, the…

physics.soc-ph2021★ 12 cited

The evolution of network controllability in growing networks

Rui Zhang, Xiaomeng Wang, Ming Cheng +1

The study of network structural controllability focuses on the minimum number of driver nodes needed to control a whole network. Despite intensive studies on this topic, most of th…

physics.soc-ph2020★ 21 cited

A generalized linear threshold model for an improved description of the spreading dynamics

Yijun Ran, Xiaomin Deng, Xiaomeng Wang +1

Many spreading processes in our real-life can be considered as a complex contagion, and the linear threshold (LT) model is often applied as a very representative model for this mec…

physics.soc-ph2017★ 175 cited

Quantifying patterns of research interest evolution

Tao Jia, Dashun Wang, Boleslaw K. Szymanski

Our quantitative understanding of how scientists choose and shift their research focus over time is highly consequential, because it affects the ways in which scientists are traine…

physics.soc-ph2016★ 2 cited

Assortative Mating: Encounter-Network Topology and the Evolution of Attractiveness

S. Dipple, T. Jia, T. Caraco +2

We model a social-encounter network where linked nodes match for reproduction in a manner depending probabilistically on each node`s attractiveness. The developed model reveals tha…