This study, conducted as part of Group A01 of the KAKENHI Transformative Research Areas, applies network analysis to 20th-century French philosophers by drawing on Wikipedia’s “Influences/Influenced by” data. By calculating metrics such as degree, betweenness, closeness, and eigenvector centrality, it illuminates the relationships and influences among these philosophers, thereby complementing the traditional intellectual history approach, which has largely centered on textual interpretation. In doing so, the study highlights the potential of interdisciplinary research between informatics and the humanities, demonstrating how large-scale data and mathematical methods can provide new insights.