Identification of Community Structures in Networks Employing a Modified Divisive Algorithm

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Provided by: American V-King Scientific Publishing
Topic: Networking
Format: PDF
In numerous networks, it is vital to identify communities consisting of closely joined groups of individuals. Such communities often reveal the role of the networks or primary properties of the individuals. In this perspective, the researchers proposed a modularity score (Q) for quantifying the power of community structure and measuring the appropriateness of a division. The Q function has newly become a significant standard. In this paper, the strengths of the Q score and another technique known as the divisive algorithm are combined to enhance the efficiently of the identification of communities from a network.
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