AI RESEARCH
Proportional Selection in Networks
arXiv CS.AI
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ArXi:2502.03545v2 Announce Type: replace-cross We address the problem of selecting $k$ representative nodes from a network, aiming to achieve two objectives: identifying the most influential nodes and ensuring the selection proportionally reflects the network's diversity. We propose two approaches to accomplish this, analyze them theoretically, and nstrate their effectiveness through a series of experiments.