5,595 research outputs found

    The computational experiment: an econometric tool

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    A specification of the steps in designing a computational experiment to address a well-posed quantitative question, emphasizing that the computational experiment is an econometric tool used in the task of deriving the quantitative implications of theory.Econometrics ; Econometric models

    epyc : computational experiment management in Python

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    epyc is a Python module for designing, executing, storing, and analysing the results of large sets of (possibly long-running) computational experiments, as are often found when writing simulations of complex networks and other domains. It allows the same experimental code to be run on single machines, multicore machines, and computational clusters without modification, and automatically manages the execution of an experiment for different parameter values and for multiple repetitions.Publisher PDFPeer reviewe

    Twitter’s big hitters

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    We describe the results of a new computational experiment on Twitter data. By listening to Tweets on a selected topic, we generate a dynamic social interaction network. We then apply a recently proposed dynamic network analysis algorithm that ranks Tweeters according to their ability to broadcast information. In particular, we study the evolution of importance rankings over time. Our presentation will also describe the outcome of an experiment where results from automated ranking algorithms are compared with the views of social media experts
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