SNA를 이용한 한약재 네트워크 분석
Analysis for Hub Network using Social Network Analysis
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참고문헌
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초록
This study applies Social Network Analysis (SNA) to prescription data from classical Oriental medical texts to explore the structural roles of medicinal herbs. Two networks were constructed: Prescription–Herb and Disease–Herb. Key herbs were identified using degree and betweenness centrality. In the Prescription–Herb network, Moschus a had the highest degree centrality, indicating frequent use, while Olibanum a and Rhei Radix et Rhizoma a showed strong mediating roles. In the Disease–Herb network, Dioscoreae Rhizoma a appeared central across diseases, but was not a key herb in individual networks for headache, fever, and abdominal pain—suggesting variation in herb usage by condition. These findings highlight the need for disease-specific herb management and suggest that SNA is a useful tool for interpreting complex relationships in traditional medicine and supporting data-driven herbal management strategies.
Abstract
This study applies Social Network Analysis (SNA) to prescription data from classical Oriental medical texts to explore the structural roles of medicinal herbs. Two networks were constructed: Prescription–Herb and Disease–Herb. Key herbs were identified using degree and betweenness centrality. In the Prescription–Herb network, Moschus a had the highest degree centrality, indicating frequent use, while Olibanum a and Rhei Radix et Rhizoma a showed strong mediating roles. In the Disease–Herb network, Dioscoreae Rhizoma a appeared central across diseases, but was not a key herb in individual networks for headache, fever, and abdominal pain—suggesting variation in herb usage by condition. These findings highlight the need for disease-specific herb management and suggest that SNA is a useful tool for interpreting complex relationships in traditional medicine and supporting data-driven herbal management strategies.