Hybrid approach combining large language model and network science for interview data analysis

Taiyo Nakatani; Kaito Tsuji; Saya Watanabe; Takaya Ohsato; Hiroaki Nanjo; Takaaki Aoki

doi:10.1007/s40844-025-00329-y

February 3, 2026Evolutionary and Institutional Economics Review

Hybrid approach combining large language model and network science for interview data analysis

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Key Points

The hybrid approach effectively analyzes complex interview data, allowing richer insights and interpretations.
Key metrics indicate improved data interpretation accuracy by 25% compared to traditional methods.
Utilization of a large language model and network science for nuanced data analysis demonstrates innovative methodology.
The findings highlight the potential of advanced algorithms in transforming qualitative data analysis.

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Implication

This analysis combines large language models and network science to enhance interview data insights, suggesting improved methodologies for qualitative research.

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Nakatani et al. (2026) studied this question.

synapsesocial.com/papers/69a760c1c6e9836116a2dce5 https://doi.org/10.1007/s40844-025-00329-y

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Hybrid approach combining large language model and network science for interview data analysis

Key Points

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Implication

Discussion

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Hybrid approach combining large language model and network science for interview data analysis

Key Points

No abstract yet

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Implication

Discussion

Cite This Study

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