Ranking the spreading influence in complex networks

JG Liu, ZM Ren, Q Guo - Physica A: Statistical Mechanics and its …, 2013 - Elsevier
Identifying the node spreading influence in networks is an important task to optimally use the
network structure and ensure the more efficient spreading in information. In this paper, by …

A hierarchical approach for influential node ranking in complex social networks

A Zareie, A Sheikhahmadi - Expert Systems with Applications, 2018 - Elsevier
Due to the rapid extension of social networks in recent years, a new potential has emerged
for global spreading of messages and effective broadcasting of news. Identification of …

[HTML][HTML] Prompting GPT–4 to support automatic safety case generation

M Sivakumar, AB Belle, J Shan… - Expert Systems with …, 2024 - Elsevier
In the ever-evolving field of software engineering, the advent of large language models and
conversational interfaces, exemplified by ChatGPT, represents a significant revolution. While …

Evaluation of gene association methods for coexpression network construction and biological knowledge discovery

S Kumari, J Nie, HS Chen, H Ma, R Stewart, X Li… - PloS one, 2012 - journals.plos.org
Background Constructing coexpression networks and performing network analysis using
large-scale gene expression data sets is an effective way to uncover new biological …

M-centrality: identifying key nodes based on global position and local degree variation

A Ibnoulouafi, M El Haziti, H Cherifi - Journal of Statistical …, 2018 - iopscience.iop.org
Identifying influential nodes in a network is a major issue due to the great deal of
applications concerned, such as disease spreading and rumor dynamics. That is why, a …

Contrast preserving decolorization with perception-based quality metrics

C Lu, L Xu, J Jia - International journal of computer vision, 2014 - Springer
Converting color images into grayscale ones suffer from information loss. In the meantime, it
is one fundamental tool indispensable for single channel image processing, digital printing …

Comparative study of the China and US import trade structure based on the global chromium ore trade network

S Ren, H Li, Y Wang, C Guo, S Feng, X Wang - Resources Policy, 2021 - Elsevier
As a critical mineral with highly effective strategic uses, chromium is highly unevenly
distributed, leading to frequent international chromium ore trading. As the two most important …

Apriori and K-Means algorithms of machine learning for spatio-temporal solar generation balancing

NY Yürüşen, B Uzunoğlu, AP Talayero, AL Estopiñán - Renewable Energy, 2021 - Elsevier
The number of grid-connected large-scale solar photovoltaic (PV) power plants has
increased significantly in the last 10 years, which results in high PV power penetration into …

Assessing test case prioritization on real faults and mutants

Q Luo, K Moran, D Poshyvanyk… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Test Case Prioritization (TCP) is an important component of regression testing, allowing for
earlier detection of faults or hel** to reduce testing time and cost. While several TCP …

Unveiling influence in networks: A novel centrality metric and comparative analysis through graph-based models

N Bendahman, D Lotfi - Entropy, 2024 - mdpi.com
Identifying influential actors within social networks is pivotal for optimizing information flow
and mitigating the spread of both rumors and viruses. Several methods have emerged to …