Feature-rich multiplex lexical networks reveal mental strategies of early language learning
Abstract Knowledge in the human mind exhibits a dualistic vector/network nature. Modelling
words as vectors is key to natural language processing, whereas networks of word …
words as vectors is key to natural language processing, whereas networks of word …
Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions
Recent advances in network science have resulted in two distinct research directions aimed
at augmenting and enhancing representations for complex networks. The first direction, that …
at augmenting and enhancing representations for complex networks. The first direction, that …
The whole is greater than the sum of the parts: A multilayer approach on criminal networks
Traditional social network analysis can be generalized to model some networked systems
by multilayer structures where the individual nodes develop relationships in multiple layers …
by multilayer structures where the individual nodes develop relationships in multiple layers …
[HTML][HTML] From social networks to knowledge graphs: A plea for interdisciplinary approaches
J Dörpinghaus, S Klante, M Christian, C Meigen… - Social Sciences & …, 2022 - Elsevier
Contextual information is a crucial factor in interdisciplinary research on social networks. At
the same time, missing linked data and missing methods for large-scale knowledge …
the same time, missing linked data and missing methods for large-scale knowledge …
Where do migrants and natives belong in a community: a Twitter case study and privacy risk analysis
Today, many users are actively using Twitter to express their opinions and to share
information. Thanks to the availability of the data, researchers have studied behaviours and …
information. Thanks to the availability of the data, researchers have studied behaviours and …
Y Social: an LLM-powered Social Media Digital Twin
In this paper we introduce Y, a new-generation digital twin designed to replicate an online
social media platform. Digital twins are virtual replicas of physical systems that allow for …
social media platform. Digital twins are virtual replicas of physical systems that allow for …
Cognitive networks detect structural patterns and emotional complexity in suicide notes
Communicating one's mindset means transmitting complex relationships between concepts
and emotions. Using network science and word co-occurrences, we reconstruct conceptual …
and emotions. Using network science and word co-occurrences, we reconstruct conceptual …
X-Mark: a benchmark for node-attributed community discovery algorithms
S Citraro, G Rossetti - Social Network Analysis and Mining, 2021 - Springer
Grouping well-connected nodes that also result in label-homogeneous clusters is a task
often known as attribute-aware community discovery. While approaching node-enriched …
often known as attribute-aware community discovery. While approaching node-enriched …
-Conformity: multi-scale node assortativity in feature-rich stream graphs
Multi-scale strategies to estimate mixing patterns are meant to capture heterogeneous
behaviors among node homophily, but they ignore an important addendum often available …
behaviors among node homophily, but they ignore an important addendum often available …
Centrality measures in multi-layer knowledge graphs
J Dörpinghaus, V Weil, C Düing… - arXiv preprint arXiv …, 2022 - arxiv.org
Knowledge graphs play a central role for linking different data which leads to multiple layers.
Thus, they are widely used in big data integration, especially for connecting data from …
Thus, they are widely used in big data integration, especially for connecting data from …