Efficient Computational Testing of Scale-Free Behavior in Real-World Systems
Addresses a key issue associated with the search for universality in big datasets Of potential interest to researchers across the physical, life and social sciences Goes beyond usual Gaussianbased approaches Discusses specifically issues associated with implementing a powerlaw test efficiently Focuses on parallel computation for accurate evaluation of statistical pvalue, setting path for future improvements.
collective behavior complexity numerical analysis