Spammer detection via ranking aggregation of group behavior
Online review networks have become a popular platform for disseminating information
which attracts large numbers of spammers to influence the reputation of the online products …
which attracts large numbers of spammers to influence the reputation of the online products …
Cascade-based echo chamber detection
Despite echo chambers in social media have been under considerable scrutiny, general
models for their detection and analysis are missing. In this work, we aim to fill this gap by …
models for their detection and analysis are missing. In this work, we aim to fill this gap by …
An Adaptive Data Traffic Control Scheme with Load Balancing in a Wireless Network
Z Zhang, A Duan - Symmetry, 2022 - mdpi.com
The symmetric wireless network has been expected to be a revolutionary technology for
mobile communications. Due to the limited resources of the microbase stations in the …
mobile communications. Due to the limited resources of the microbase stations in the …
Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion
D Goel - arxiv preprint arxiv:2310.10667, 2023 - arxiv.org
With the burgeoning advancements of computing and network communication technologies,
network infrastructures and their application environments have become increasingly …
network infrastructures and their application environments have become increasingly …
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering
Community detection is a critical challenge in analysing real graphs, including social,
transportation, citation, cybersecurity, and many other networks. This article proposes three …
transportation, citation, cybersecurity, and many other networks. This article proposes three …
LeaDCD: Leadership concept-based method for community detection in social networks
Community discovery plays an essential role in analyzing and understanding the behavior
and relationships of users in social networks. For this reason, various algorithms have been …
and relationships of users in social networks. For this reason, various algorithms have been …
Leveraging cascading information for community detection in social networks
Abstract Information exchange among individuals is one of the key factors leading to
formation of modular structures in social networks, often referred as communities. In this …
formation of modular structures in social networks, often referred as communities. In this …
Diffusion pattern mining
Q Yan, Y Yang, K Yin, T Gan, H Huang - Knowledge and Information …, 2025 - Springer
In a diffusion network, some nodes exhibit similar diffusion patterns as they have analogous
influence reachabilities to the other nodes. When these nodes are selected as initially …
influence reachabilities to the other nodes. When these nodes are selected as initially …
Consensus Subspace Graph Regularization based on prior information for multiplex network clustering
X Li, S Yin, X Liu, C Gao, Z Wang… - Engineering Applications of …, 2024 - Elsevier
Multiplex network clustering can identify the common cluster structure shared by all layers,
which is of great significance for downstream research such as personalized …
which is of great significance for downstream research such as personalized …
Cascade-based echo chamber detection
Despite echo chambers in social media have been under considerable scrutiny, general
models for their detection and analysis are missing. In this work, we aim to fill this gap by …
models for their detection and analysis are missing. In this work, we aim to fill this gap by …