With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

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 …

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 …

Community structure plays an important role in social networks, which can reveal potential
social relationships and deliver vast economic benefits to enterprises and organizations …

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 …

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 …

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 …

With the increasing severity of user privacy leaks in online social networks (OSNs), existing
privacy protection technologies have difficulty meeting the diverse privacy protection needs …

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 …

The abuse of community detection algorithms may bring the risk of privacy leakage. To
protect personal privacy in complex networks, community detection attack algorithms are …