Entropi ile Hiper Çizgelerde Merkezilik

Öz

Entropi kompleks sistemlerde belirsizliği ölçmek için kullanılabilir. Hiper çizgeler gerçek dünyaya uygun verileri matematiksel olarak modellemek için yapı sunar. Bu çalışmada hiper çizge yapısındaki veriler üzerinde entropi kullanılarak analizler yapıldı. Düğüm derecesi ve hiper kenar derecesi kullanılarak düğümlerin ve hiper kenarların entropileri hesaplandı. Bu değerlere göre etkinlikleri bulundu. Ağırlıklı veya ağırlıksız ilişkisel yapılarda bu yöntemin uygulanabilirliği örnekler üzerinden gösterildi. Birden çok birimi ve çalışanı olan kurumlarda karar verme süreçlerinde destek amaçlı önerilen yöntemle elde edilen sonuçlar kullanılabilir.

Anahtar Kelimeler

• Entropi
• Hiper Çizgeler
• Karar Destek Sistemleri
• Merkezilik

Centrality with Entropy in Hypergraphs

Öz

Entropy is used to measure uncertainty in complex systems. Hypergraphs provide structure for mathematically modeling real-world data. In this study, analyzes were made using entropy on the data in the hypergraph structure. The entropies of the nodes and hyperedges were calculated using the node degree and hyper edge degree. Their activities were found according to these values. The applicability of this method in weighted or unweighted relational structures was demonstrated through examples. In institutions with multiple departments and employees, the results obtained with the proposed method can be used to support decision-making processes.

Anahtar Kelimeler

• Entropy
• Hypergraphs
• Decision Support Systems
• Centrality

Kaynakça

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