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Titlebook: Complex Networks & Their Applications X; Volume 1, Proceeding Rosa Maria Benito,Chantal Cherifi,Marta Sales-Pard Conference proceedings 202

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Classification of Dispersed Patterns of Radiographic Images with COVID-19 by Core-Periphery Network e proposed method is applied to classify radiographic image for COVID-19 diagnosis. Computer simulations show promising results of the method. The main contribution is to introduce a general scheme to characterize pattern formation of the data “without pattern”.
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Dynamics of Polarization and Coalition Formation in Signed Political Elite Networkseir respective party clusters. The intensity of polarization be-tween clusters is relatively lower than the following two periods, with a downward trend of polarization ahead of the legislative election day. The cleavage line between coalition clusters begins to form in the presidential election per
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https://doi.org/10.1007/BFb0061658er reinforced by considering via so-called pseudo-tweets generated randomly and using AI-based language generation software. We speculate as to the possible origins of the small community hypothesis and further attempts at validating it.
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https://doi.org/10.1007/978-3-642-36028-2ther. We show that this parameter is bounded for many structured graph classes and is small for many real-world networks. We present efficient algorithms to compute or estimate this parameter and evaluate the performance of our algorithms on a number of real-world networks.
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Small Number of Communities in Twitter Keyword Networkser reinforced by considering via so-called pseudo-tweets generated randomly and using AI-based language generation software. We speculate as to the possible origins of the small community hypothesis and further attempts at validating it.
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Fellow Travelers Phenomenon Present in Real-World Networksther. We show that this parameter is bounded for many structured graph classes and is small for many real-world networks. We present efficient algorithms to compute or estimate this parameter and evaluate the performance of our algorithms on a number of real-world networks.
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