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Links 1 through 3 of 3 by Luca Bigliardi tagged recognition

Anyone who works with LaTeX knows how time-consuming it can be to find a symbol in symbols-a4.pdf that you just can't memorize. Detexify is an attempt to simplify this search. Just draw the symbol you are looking for into the square area above and look what happens!

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We establish concrete mathematical criteria to distinguish between different kinds of written storytelling, fictional and non-fictional. Specifically, we constructed a semantic network from both novels and news stories, with N independent words as vertices or nodes, and edges or links allotted to words occurring within m places of a given vertex; we call m the word distance. We then used measures from complex network theory to distinguish between news and fiction, studying the minimal text length needed as well as the optimized word distance m. The literature samples were found to be most effectively represented by their corresponding power laws over degree distribution P(k) and clustering coefficient C(k); we also studied the mean geodesic distance, and found all our texts were small-world networks. We observed a natural break-point at k=sqrt{N} where the power law in the degree distribution changed, leading to separate power law fit for the bulk and the tail of P(k).

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