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Found 7 papers, 0 papers with code
Generative models for two-ground-truth partitions in networks
Given our model design and experimental set-up, we find that the ability to detect the two partitions individually varies by SBM variant and that coexistence of both partitions is recovered only in a very limited number of cases.
Follow the guides: disentangling human and algorithmic curation in online music consumption
The role of recommendation systems in the diversity of content consumption on platforms is a much-debated issue.
Tracing Affordance and Item Adoption on Music Streaming Platforms
Popular music streaming platforms offer users a diverse network of content exploration through a triad of affordances: organic, algorithmic and editorial access modes.
Semantic Hypergraphs
The central idea of our approach is the Semantic Hypergraph (SH), a novel knowledge representation model that is intrinsically recursive and accommodates the natural hierarchical richness of natural language.
Algorithmic Distortion of Informational Landscapes
The possible impact of algorithmic recommendation on the autonomy and free choice of Internet users is being increasingly discussed, especially in terms of the rendering of information and the structuring of interactions.
Automatic Discovery of Families of Network Generative Processes
Designing plausible network models typically requires scholars to form a priori intuitions on the key drivers of network formation.
Symbolic regression of generative network models
Networks are a powerful abstraction with applicability to a variety of scientific fields.
