Epidemic processes in complex networks
In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …
emergence of complex and heterogeneous connectivity patterns in a wide range of …
Vital nodes identification in complex networks
Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …
structure and function. To identify vital nodes is thus very significant, allowing us to control …
The H-index of a network node and its relation to degree and coreness
Identifying influential nodes in dynamical processes is crucial in understanding network
structure and function. Degree, H-index and coreness are widely used metrics, but …
structure and function. Degree, H-index and coreness are widely used metrics, but …
Dynamics of information diffusion and its applications on complex networks
The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …
information of effective transmission from heterogeneous individuals to various systems …
Statistical analysis of the regional air quality index of Yangtze River Delta based on complex network theory
JB Liu, YQ Zheng, CC Lee - Applied Energy, 2024 - Elsevier
Air pollution is an urgent global issue with significant implications for the environment and
public health. This study focuses on the daily Air Quality Index (AQI) data from 27 major …
public health. This study focuses on the daily Air Quality Index (AQI) data from 27 major …
A survey of community detection methods in multilayer networks
X Huang, D Chen, T Ren, D Wang - Data Mining and Knowledge …, 2021 - Springer
Community detection is one of the most popular researches in a variety of complex systems,
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …
Identifying and ranking influential spreaders in complex networks by neighborhood coreness
J Bae, S Kim - Physica A: Statistical Mechanics and its Applications, 2014 - Elsevier
Identifying influential spreaders is an important issue in understanding the dynamics of
information diffusion in complex networks. The k-shell index, which is the topological …
information diffusion in complex networks. The k-shell index, which is the topological …
The random walk-based gravity model to identify influential nodes in complex networks
The identification of influential nodes in complex networks has been a topic of immense
interest. In most cases, the local approach represented by degree centrality performs well …
interest. In most cases, the local approach represented by degree centrality performs well …
Information cascades in complex networks
Abstract Information cascades are important dynamical processes in complex networks. An
information cascade can describe the spreading dynamics of rumour, disease, memes, or …
information cascade can describe the spreading dynamics of rumour, disease, memes, or …
An improved gravity model to identify influential nodes in complex networks based on k-shell method
X Yang, F **ao - Knowledge-Based Systems, 2021 - Elsevier
To find the important nodes in complex networks is a fundamental issue. A number of
methods have been recently proposed to address this problem but most previous studies …
methods have been recently proposed to address this problem but most previous studies …