As the number of social network users grows exponentially with increasingly complex profiles, community detection algorithms play a critical role in user portrait analysis. The …
J Zhao, Z Wang, J Cao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The rapid development of community detection algorithms, while serving users in social networks, also brings about certain privacy problems. In this work, we study community …
D Liu, Z Chang, G Yang, E Chen - Information Sciences, 2022 - Elsevier
Community structure plays an important role in social networks, which can reveal potential social relationships and deliver vast economic benefits to enterprises and organizations …
D Liu, G Yang, Y Wang, H Jin… - IEEE Transactions on Big …, 2022 - ieeexplore.ieee.org
In recent years, overlapping community detection algorithms have been paid more and more attention, which not only reveal the real social relations, but also expose the possible …
H Jing, J Wang - Security and Communication Networks, 2022 - hindawi.com
Network available and accessible is of great importance to the Internet of things (IoT) devices. In this study, a novel machine learning method is presented to predict the …
D Liu, Z Chang, G Yang, E Chen - Knowledge-Based Systems, 2022 - Elsevier
Community detection can reveal real social relations and enable great economic benefits for enterprises and organizations; however, it can also cause privacy problems such as the …
D Chen, H Su, Z Zeng - IEEE Transactions on Computational …, 2022 - ieeexplore.ieee.org
The geometric renormalization (GR) group of complex networks based on hidden metric space provides a powerful framework for studying the self-similarity of networks. Recent …
V Fionda, G Pirrò - IEEE Transactions on Computational Social …, 2022 - ieeexplore.ieee.org
Community detection algorithms that analyze networks to identify communities of nodes are an essential part of the network analysis toolkit used daily by different analysts (eg, data …
J Zhao, Z Wang, D Yu, J Cao, KH Cheong - Chaos, Solitons & Fractals, 2024 - Elsevier
The growing concern about data security in complex networks is a topic of immense interest. In this paper, we study how community deception can prevent malicious attackers from …