How can I plot this algorithm's running time using different values of a?

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The discussion focuses on plotting the running time of an algorithm defined by the formula expO((log N)^α(log log N)^(1−α)) = L(a) for specific values of α. The user seeks to visualize the function for α values of 1/4 + O(1), 1/4 + O(n), and 1/3, with the expectation that they will be ordered from smallest to largest growth. They provide links to both the research paper and a free preprint version for reference. The user clarifies that they interpret the exponent's argument as O(x^α y^(1−α)), where x and y represent log N and log log N, respectively. Assistance in correctly plotting this function is requested.
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I'm studying a research paper that gives this formula for the running time of an algorithm,

expO((log N)^α(log log N)^(1−α)) = L(a)

I would like to plot this function alongside another, for a = 1/4 + O(1), a = 1/4 + O(n), and a= 1/3. The function's growth parameratized by those a's, should be ordered from small to big in the order I listed them.

Here is a link to the article, the formula is found in the introduction.
http://link.springer.com/chapter/10.1007/978-3-642-55220-5_1

If you can help me interpret this in a way that I can plot the function correctly, that would be helpful.
 
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The preprint (free) version of the article is http://arxiv.org/abs/1306.4244. Let ##x= \log N## and ##y=\log\log N##. I parse that the argument of the exponent is ##O(x^\alpha y^{1-\alpha})##.
 
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