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www.frontiersin.org | ||
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faculty.ucr.edu
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| | | | | [AI summary] This chapter introduces methods for analyzing the social structure and macro-level embedding of individuals within dyads, triads, clusters, and larger groups using metrics like density, reciprocity, transitivity, clustering, and hierarchy. | |
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www.nature.com
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| | | | | Despite the growing interest in characterizing the local geometry leading to the global topology of networks, our understanding of the local structure of complex networks, especially real-world networks, is still incomplete. Here, we analyze a simple, elegant yet underexplored measure, degree difference (DD) between vertices of an edge, to understand the local network geometry. We describe the connection between DD and global assortativity of the network from both formal and conceptual perspective, and s... | |
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appliednetsci.springeropen.com
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| | | | | Cultural data analytics aims to use analytic methods to explore cultural expressions-for instance art, literature, dance, music. The common thing between cultural expressions is that they have multiple qualitatively different facets that interact with each other in non trivial and non learnable ways. To support this observation, we use the Italian music record industry from 1902 to 2024 as a case study. In this scenario, a possible research objective could be to discuss the relationships between different music genres as they are performed by different bands. Estimating genre similarity by counting the number of records each band published performing a given genre is not enough, because it assumes bands operate independently from each other. In reality, band... | |
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www.lesswrong.com
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| | | A neural net using rectified linear unit activation functions of any size is unable to approximate the function sin(x) outside a compact interval. ... | ||
