Exploring the patent collaboration network of China's wind energy industry: A study based on patent data from CNIPA
W Liu, Y Song, K Bi - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
As an important part of China's strategic emerging industries, develo** wind energy is key
to improving the nation's energy structure, protecting the environment, ensuring energy …
to improving the nation's energy structure, protecting the environment, ensuring energy …
Identifying important nodes in complex networks based on extended degree and E-shell hierarchy decomposition
J Liu, J Zheng - Scientific Reports, 2023 - nature.com
The identification of important nodes is a hot topic in complex networks. Many methods have
been proposed in different fields for solving this problem. Most previous work emphasized …
been proposed in different fields for solving this problem. Most previous work emphasized …
The impact of network structure on knowledge adoption: A network text analysis on knowledge-sharing platforms
In recent years, the public has increasingly relied on online knowledge-sharing platforms as
credible and valuable sources to acquire information and knowledge. This work employed …
credible and valuable sources to acquire information and knowledge. This work employed …
[HTML][HTML] Forecasting technology trends through the gap between science and technology: The Сase of software as an E-Commerce service
Identifying technology trends can be a key success factor for companies to be competitive
and take advantage of technological trends before they occur. The companies always work …
and take advantage of technological trends before they occur. The companies always work …
Ranking academic institutions by means of institution–publication networks
H Cao, C Gao, Z Wang - Physica A: Statistical Mechanics and its …, 2023 - Elsevier
Ranking academic institutions is a crucial aspect of scientometric research and has been an
attractive topic. However, existing methods for measuring the reputation of institutions do not …
attractive topic. However, existing methods for measuring the reputation of institutions do not …
An entropy‐based self‐adaptive node importance evaluation method for complex networks
Q Sun, G Yang, A Zhou - Complexity, 2020 - Wiley Online Library
Identifying important nodes in complex networks is essential in disease transmission control,
network attack protection, and valuable information detection. Many evaluation indicators …
network attack protection, and valuable information detection. Many evaluation indicators …
[HTML][HTML] Analysis of the COVID-19 epidemic transmission network in mainland China: K-core decomposition study
L Qin, Y Wang, Q Sun, X Zhang… - JMIR public health …, 2020 - publichealth.jmir.org
Background: Since the outbreak of COVID-19 in December 2019 in Wuhan, Hubei Province,
China, frequent interregional contacts and the high rate of infection spread have catalyzed …
China, frequent interregional contacts and the high rate of infection spread have catalyzed …
Improving the identification effect of technical trajectory by adding ghost edges in the patent citation network
Y Liu, L Jian - Electronic Commerce Research, 2024 - Springer
This paper proposes a method to improve the identification effect of technical Trajectory by
adding ghost edges in the patent citation network, which includes calculating patent …
adding ghost edges in the patent citation network, which includes calculating patent …
CM-GCN: Crossbred Method based-Graph Convolution Networks for identifying influential spreaders from directed networks
N Saha, A Namtirtha, A Dutta - 2024 16th International …, 2024 - ieeexplore.ieee.org
Influential spreaders play a critical role, either maximizing information dissemination or
controlling epidemic spreads. Much of the existing research concentrates on identifying …
controlling epidemic spreads. Much of the existing research concentrates on identifying …
A hybrid model for the patent citation network structure
Percolation theory on the patent citation network is studied and the percolation threshold
points are identified. The results show that there is a significant change of the threshold …
points are identified. The results show that there is a significant change of the threshold …