From Facebook friend circles to hidden influencer groups, community detection in social networks is evolving fast. Researchers are combining deep learning, graph neural networks, and advanced ...

Community detection — the task of finding groups of densely connected nodes in a network — has become a popular tool in urban analysis. Applied to street networks, it promises to reveal something ...

Abstract: Network traffic analysis plays a vital role in detecting malicious activities, anomalies, and understanding communication patterns. Two major classes of techniques, graph-based community ...

Artificial intelligence (AI) is the new arms race and the centerpiece of defense modernization efforts across multiple countries, including the United States. Yet, despite the surge in AI investments, ...

Scientists at the U.S. Naval Research Laboratory (NRL), working with Florida International University's (FIU) Global Forensic and Justice Center, have demonstrated a new method for detecting trace ...

We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in online social ...

1 Godfrey Okoye University, Enugu, Nigeria. 2 DNA Learning Center Nigeria, Ugwuomu-Nike, Enugu, Nigeria. 3 Department of Natural Sciences, Bowie State University, Bowie, MD, USA. Understanding the ...

Becker’s is pleased to release the 2025 edition of its “Great community hospitals” list. Community hospitals play a vital role in the fabric of the U.S. healthcare system, delivering accessible, ...