Information Networks with Human-Centric LLMs
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Big Data and Augmented Intelligence".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 18
Special Issue Editors
Interests: complex systems modeling; natural language processing; semantic networks; multilayer networks; complex networks
Special Issues, Collections and Topics in MDPI journals
Interests: complex networks; dynamic networks; community discovery; data mining
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Large Language Models (LLMs) have revolutionized our approach to information search and processing, and yet the investigation of LLM–LLM and LLM–human interactions in techno-social systems remains a scarcely explored research area.
Although they are powerful for a variety of purposes, LLMs remain black-box AI models: they can provide accurate classifications or predictions, but with little-to-no justification or interpretative power. Furthermore, although one could examine the behavior of one LLM in isolation, humans or other LLMs interacting together might give rise to unexpected mechanisms like coordination, empathy, or social bonds that could not be observed in individual agents, either human or LLM-based.
Overcoming these two limitations requires next-generation modeling frameworks that account for complex LLM–human interactions and which are capable of capturing the complexity of LLMs as cognitive agents.
This Special Issue aims to bring together quantitative, innovative research in this field. We are open to a variety of publication types, including reviews and theoretical papers, empirical research, computational modeling, and Big Data analyses regarding information networks that feature multiple interactions between LLMs or with humans.
Potential topics include, but are not limited to, the following:
- Interpretable AI for information processing;
- Models of network science and LLMs for understanding information flow;
- Models of knowledge construction and representation in LLM and human systems;
- Complex systematic approaches to knowledge/information modeling;
- Trustworthy social and sociable interactions;
- AI systems versus human social media;
- AI-based techno-social systems;
- AI-powered social simulations and agent-based modeling.
Prof. Dr. Massimo Stella
Prof. Dr. Giulio Rossetti
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- interpretable AI
- human-centric AI
- large language models
- complex networks
- network science
- knowledge modeling
- data mining
- intelligent systems
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