Bapuji Rao

Work place: Department of CSE&A, IGIT, Sarang, Dhenkanal-759146, India



Research Interests: Data Structures and Algorithms, Social Information Systems, Data Mining


Bapuji Rao is currently working as Asst. Professor in the Department of Computer Science, Engg. & Applications at Indira Gandhi Institute of Technology (IGIT), Sarang, Dhenkanal, Odisha, India. He is pursuing Ph.D. (CSE) from Biju Patnaik University of Technology (BPUT), Rourkela, Odisha, India. He has received M.Tech (Computer Science) from Berhampur University, Berhampur, Odisha, India. He has published 17 papers in International Conferences which includes IEEE-6, Springer-4, Elsevier-1, and McGraw-Hill- 1. He has published 8 papers in international journals of repute. He has also published four book chapters in IGI Global, USA. His current research area focuses on Graph Mining, Data Mining, Opinion Mining, Text Mining, Social Network, Attributed Graph, and Multi-Layer Graph.

Author Articles
An Approach to Represent Social Graph as Multi-Layer Graph Using Graph Mining Techniques

By Bapuji Rao

DOI:, Pub. Date: 8 Jan. 2019

In Social Graph, a set of entities or nodes or vertices interact with each other in a complicated manner that can form multiple types of relationships that depend on time and types of complications. Such graphs include multiple subsystems and layers of connectivity. So it is important to take such multi-layer features into account to make easier of understanding of such complex systems. In this paper, the author focuses on a Social Graph to represent in a multi-layer graph based on its characteristics lies in each node or vertex or entity. For this, the author proposes a general model related to Social Graph. For this model, the author proposes an algorithm, SoGraM for representation of Social Graph with multi-layer features using Graph Mining Techniques. Further, the author tries to prove the proposed algorithm with three examples of Social Graph namely Author Graph, Email Graph, and Telephone Graph.

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