97 citations · 205 across the 23 of their papers we have counts for
19 papers · 1 filter
Multiscale Reconstruction of Multiplex Networks with Higher-Order Interactions
Guangyuan Mei, Yao Cai, Suoyi Tan +4
Inferring network structure from dynamical observations is a fundamental inverse problem in complex systems. Existing approaches have largely focused on single-layer or pairwise in…
Entropy-Driven Sensor Deployment and Source Detection in Hypergraphs
Qiao Ke, Chengjun Zhang, Chuang Liu +3
Identifying the diffusion source in complex networks is critical for understanding and controlling epidemic spread. In realistic settings, full observation of node states is rarely…
Source Detection in Hypergraph Epidemic Dynamics using a Higher-Order Dynamic Message Passing Algorithm
Qiao Ke, Naoki Masuda, Zhen Jin +2
Source detection is crucial for capturing the dynamics of real-world infectious diseases and informing effective containment strategies. Most existing approaches to source detectio…
Modeling Coupled Epidemic-Information Dynamics via Reaction-Diffusion Processes on Multiplex Networks with Media and Mobility Effects
Guangyuan Mei, Yao Cai, Su-Su Zhang +3
While most existing epidemic models focus on the influence of isolated factors, infectious disease transmission is inherently shaped by the complex interplay of multiple interactin…
ESND: An Embedding-based Framework for Signed Network Dismantling
Chenwei Xie, Chuang Liu, Cong Li +2
Network dismantling aims to maximize the disintegration of a network by removing a specific set of nodes or edges and is applied to various tasks in diverse domains, such as cracki…
Locating influential nodes in hypergraphs via fuzzy collective influence
Su-Su Zhang, Xiaoyan Yu, Gui-Quan Sun +2
Complex contagion phenomena, such as the spread of information or contagious diseases, often occur among the population due to higher-order interactions between individuals. Indivi…
Directed network comparison using motifs
Chenwei Xie, Qiao Ke, Haoyu Chen +2
Analyzing and characterizing the differences between networks is a fundamental and challenging problem in network science. Previously, most network comparison methods that rely on…
Influence maximization in multilayer networks based on adaptive coupling degree
Su-Su Zhang, Ming Xie, Chuang Liu +1
Influence Maximization(IM) aims to identify highly influential nodes to maximize influence spread in a network. Previous research on the IM problem has mainly concentrated on singl…
A universal meta-heuristic framework for influence maximization in hypergraphs
Ming Xie, Xiu-Xiu Zhan, Chuang Liu +1
Influence maximization (IM) aims to select a small number of nodes that are able to maximize their influence in a network and covers a wide range of applications. Despite numerous…
A hyper-distance-based method for hypernetwork comparison
Tao Xu, Xiaowen Xie, Zi-Ke Zhang +2
Hypernetwork is a useful way to depict multiple connections between nodes, making it an ideal tool for representing complex relationships in network science. In recent years, there…
Vital node identification in hypergraphs via gravity model
Xiao-Wen Xie, Xiu-Xiu Zhan, Zi-Ke Zhang +1
Hypergraphs that can depict interactions beyond pairwise edges have emerged as an appropriate representation for modeling polyadic relations in complex systems. With the recent sur…
The Aging Effect in Evolving Scientific Citation Networks
Feng Hu, Lin Ma, Xiu-Xiu Zhan +4
The study of citation networks is of interest to the scientific community. However, the underlying mechanism driving individual citation behavior remains imperfectly understood, de…
Exploring the effect of social media and spatial characteristics during the COVID-19 pandemic in China
Xiu-Xiu Zhan, Kaiyue Zhang, Lun Ge +6
The declaration of COVID-19 as a pandemic has largely amplified the spread of related information on social media, such as Twitter, Facebook, and WeChat.Unlike the previous studies…
Temporal Gravity Model for Important Nodes Identification in Temporal Networks
Jialin Bi, Ji Jin, Cunquan Qu +2
Identifying important nodes is one of the central tasks in network science, which is crucial for analyzing the structure of a network and understanding the dynamical processes on a…
Information Spreading Dynamics on Adaptive Social Networks
Chuang Liu, Nan Zhou, Xiu-Xiu Zhan +2
There is currently growing interest in modeling the information diffusion on social networks across multi-disciplines. The majority of the corresponding research has focused on inf…
Mutual Feedback Between Epidemic Spreading and Information Diffusion
Xiu-Xiu Zhan, Chuang Liu, Ge Zhou +3
The impact that information diffusion has on epidemic spreading has recently attracted much attention. As a disease begins to spread in the population, information about the diseas…
Epidemic Dynamics On Information-Driven Adaptive Networks
Xiu-Xiu Zhan, Chuang Liu, Gui-Quan Sun +1
can evolve simultaneously. For the information-driven adaptive process, susceptible (infected) individuals who have abilities to recognize the disease would break the links of thei…
Events Determine Spreading Patterns: Information Transmission via Internal and External Influences on Social Networks
Chuang Liu, Xiu-Xiu Zhan, Zi-Ke Zhang +2
Recently, information transmission models motivated by the classical epidemic propagation, have been applied to a wide-range of social systems, generally assume that information ma…
Evolution of citation networks with the hypergraph formalism
Feng Hu, Hai-Xing Zhao, Xiu-Xiu Zhan +2
In this paper, we proposed an evolving model via the hypergraph to illustrate the evolution of the citation network. In the evolving model, we consider the mechanism combined with…