Community evolutional network for situation awareness using social media

X Fu, Y Wang, M Li, M Dou, M Qiao, K Hu - IEEE Access, 2020 - ieeexplore.ieee.org
Social media is important for situational awareness during a disaster. During a disaster, the
situation of emergence often changes over time and hence the topics of social media …

Analysis of climate change characteristics in Xi'an based on the visibility graph

P Zhang, P Ning, R Cao, J Xu - Frontiers in Physics, 2021 - frontiersin.org
In recent years, the global temperature is continuously rising and has the trend of
accelerating. The frequent occurrence of extremely high temperatures and heat waves has …

Traffic dynamics on multilayer networks with two logical layers

J Ma, Z Sun, Y Zhang, X Xu, R Zhao… - International Journal of …, 2021 - World Scientific
In order to study traffic dynamics on multilayer networks, it is of great significance to build a
network model which can more exactly reflect the actual network layered structure …

Mechanism of User Participation in Co‐creation Community: A Network Evolutionary Game Method

F Zhang, C Li, C Cao - Complexity, 2021 - Wiley Online Library
Active participation closely associates with the sustainable operation of co‐creation
communities. Different from recent studies on the promotion of sustainable operation by …

[HTML][HTML] Clustering sequence graphs

H Zhong, G Loukides, SP Pissis - Data & Knowledge Engineering, 2022 - Elsevier
In application domains ranging from social networks to e-commerce, it is important to cluster
users with respect to both their relationships (eg, friendship or trust) and their actions (eg …

Social bots and mass media manipulated public opinion through dual opinion climate

C Cheng, Y Luo, C Yu, W Ding - Chinese Physics B, 2022 - iopscience.iop.org
Opinion dynamics models based on the multi-agent method commonly assume that
interactions between individuals in a social network result in changes in their opinions …

A dynamic core evolutionary clustering algorithm based on saturated memory

H Xie, P Li, Z Ding - Autonomous Intelligent Systems, 2023 - Springer
Because the number of clustering cores needs to be set before implementing the K-means
algorithm, this type of algorithm often fails in applications with increasing data and changing …

Statistical clustering of documents via stochastic blockmodels

PH Atandoh, KH Lee - Journal of Applied Statistics, 2024 - Taylor & Francis
As the online market grows rapidly, people are relying more on product review when they
purchase the product. Hence, many companies and researchers are interested in analyzing …

A Coordination Algorithm for Signalized Multi-Intersection to Maximize Green Wave Band in V2X Network

Y Shi, J Li, Q Han, L Lv - IEEE Access, 2020 - ieeexplore.ieee.org
The signal control system for multi-intersection traffic management is an extensive complex
nonlinear and non-equilibrium system and usually leads to a weak control strategy. Existing …

Correction of atmospheric model through data mining with historical data of two-line element

X Bai, C Liao, M Xu, Y Zheng - IEEE Access, 2020 - ieeexplore.ieee.org
The existing atmospheric mass density models (AMDM) would produce considerable errors
in orbital prediction for Low Earth Orbit (LEO) satellites. In order to reduce these errors and …