With the advancement of scientific collaboration in 20th century, researchers started collaborating many research areas. Researchers and scientists no longer remain solitary individuals; instead, they collaborate to advance fundamental understandings topics. Various bibliometric methods are used quantify among communities. Among these different methods, co-authorship method is one most verifiab...

Abstract. Spectral partitioning is a well known method in the area of graph and matrix analysis. Several approaches based on spectral partitioning and spectral clustering were used to detect structures in real world networks and databases. In this paper, we explore two community detection approaches based on the spectral partitioning to analyze a coauthorship network. The partitioning exploits ...

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