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 ...

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 ...

This study investigates the application of advanced clustering methods to geological fracture analysis in the Baba Kohi anticline, located in the folded Zagros region of southwest Iran. The primary ...

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 ...

ABSTRACT: The accelerating sophistication of cyberattacks poses unprecedented challenges for national security, critical infrastructures, and global digital resilience. Traditional signature-based ...

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...

A MATLAB third-party implementation of the algorithm in the research article by Nikolaev, Razib and Kucheriya titled "On efficient use of entropy centrality for social network analysis and community ...