Vertices arrive sequentially in space and are joined to existing vertices at random according to a preferential rule combining degree and spatial proximity. We investigate phase transitions in the ...
Advances in Applied Probability, Vol. 45, No. 3 (SEPTEMBER 2013), pp. 876-893 (18 pages) For a family of linear preferential attachment graphs, we provide rates of convergence for the total variation ...
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LLMs choose friends and colleagues like people, researchers find
When large language models (LLMs) make decisions about networking and friendship, the models tend to act like people, across both synthetic simulations and real-world network contexts.
When large language models (LLMs) make decisions about networking and friendship, the models tend to act like people, across both synthetic simulations and real-world network contexts.
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