Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many collective human activities have been shown to exhibit universal patterns. Hover, the possibility of regularities underlying researcher migration in computer science (CS) has barely been explored at global scale. To a large extend, this is due to official and commercial records being restricted, incompatible beten countries, and especially not registered across researchers.  overcome these limitations by building our own, transnational, large-scale dataset inferred from publicly available information on the b. Essentially,  use Label Propagation (LP) to infer missing geo-tags of author-paper-pairs retrieved from online bibliographies. On this dataset,  then find statistical regularities that explain how researchers in CS move from one place to another. Hover, although vanilla LP is simple and has been remarkably successful, its run time can suffer from unexploited symmetries of the underlying graph. Consequently,  introduce compressed LP (CLP) that exploits these symmetries to reduce the dimensions of the matrix inverted by LP to obtain optimal labeling scores.  prove that CLP reaches identical labeling scores as LP, while often being significantly faster with lor memory usage.
['Fabian Hadiji', 'Martin Mladenov', 'Christian Bauckhage', 'Kristian Kersting']
I am writing a research paper on a idea Computer science on the move: inferring migration regularities from the web via compressed label propagation
[{"from": "human", "value": "I am writing a research paper on a idea Computer science on the move: inferring migration regularities from the web via compressed label propagation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many collective human activities have been shown to exhibit universal patterns. Hover, the possibility of regularities underlying researcher migration in computer science (CS) has barely been explored at global scale. To a large extend, this is due to official and commercial records being restricted, incompatible beten countries, and especially not registered across researchers.  overcome these limitations by building our own, transnational, large-scale dataset inferred from publicly available information on the b. Essentially,  use Label Propagation (LP) to infer missing geo-tags of author-paper-pairs retrieved from online bibliographies. On this dataset,  then find statistical regularities that explain how researchers in CS move from one place to another. Hover, although vanilla LP is simple and has been remarkably successful, its run time can suffer from unexploited symmetries of the underlying graph. Consequently,  introduce compressed LP (CLP) that exploits these symmetries to reduce the dimensions of the matrix inverted by LP to obtain optimal labeling scores.  prove that CLP reaches identical labeling scores as LP, while often being significantly faster with lor memory usage."}]