Algorithms that identify influential people in social networks can help maximize the reach of messages, but a modeling study published in PNAS Nexus shows that those same algorithms can disseminate ...
Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...
Abstract: This work addresses the problem of secrecy energy efficiency (SEE) maximization in RIS-aided wireless networks. The use of active and nearly-passive RISs are compared and their trade-off in ...
Quantum walk-based algorithm for influence maximization in social networks using Qiskit.Identifies influential nodes via quantum interference in scale-free networks.Built with Python, NetworkX, NumPy, ...
ImViA Laboratory, EA 7535, University of Burgundy, Dijon, France. Visual Sensor Networks (VSNs) focus on capturing data, extracting relevant information, and enabling communication. However, the ...
This comprehensive Data Structures and Algorithms preparation package is designed specifically for cracking interviews at Google, Amazon, Meta, Apple, Netflix, and Microsoft. All implementations are ...
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