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Found 10 papers, 4 papers with code
From Perils to Possibilities: Understanding how Human (and AI) Biases affect Online Fora
On the other hand, we explore the emergence of online support groups through users' self-disclosure and social support mechanisms.
Redefining Event Types and Group Evolution in Temporal Data
Groups -- such as clusters of points or communities of nodes -- are fundamental when addressing various data mining tasks.
Cognitive network science reveals bias in GPT-3, ChatGPT, and GPT-4 mirroring math anxiety in high-school students
We use data obtained by probing the three LLMs in a language generation task that has previously been applied to humans.
Towards hypergraph cognitive networks as feature-rich models of knowledge
Semantic networks provide a useful tool to understand how related concepts are retrieved from memory.
Cognitive modelling with multilayer networks: Insights, advancements and future challenges
Cognitive multilayer networks can map multiple types of information at once, thus capturing how different layers of associations might co-exist within the mental lexicon and influence cognitive processing.
Feature-rich multiplex lexical networks reveal mental strategies of early language learning
Modelling words as vectors is key to natural language processing, whereas networks of word associations can map the nature of semantic memory.
Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities
Our quantitative comparisons provide strong evidence that suicide notes encapsulate different ways of expressing feelings compared to online Reddit boards, the latter acting more like personal diaries and relief valve.
Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks
Unveil the homophilic/heterophilic behaviors that characterize the wiring patterns of complex networks is an important task in social network analysis, often approached studying the assortative mixing of node attributes.
Social and Information Networks
UTLDR: an agent-based framework for modeling infectious diseases and public interventions
Nowadays, due to the SARS-CoV-2 pandemic, epidemic modelling is experiencing a constantly growing interest from researchers of heterogeneous fields of study.
Social and Information Networks Physics and Society 05C85, 60J60, 90C35 G.2.2; F.2.1
Eva: Attribute-Aware Network Segmentation
Identifying topologically well-defined communities that are also homogeneous w. r. t.
Social and Information Networks Physics and Society 68R10
