Higher Education Career Guidance through Social Network Analysis

Authors

  • Rohini A Research Scholar, School of Computing Science, Hindustan Institute of Technology and Science, Kelambakkam, Chennai, India
  • SudalaiMuthu T Associate Professor, School of Computing Science, Hindustan Institute of Technology and Science, Kelambakkam, Chennai, India
  • Tanupriya Choudhury Associate Professor, Dept. of Informatics, School of CS, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India.

Keywords:

Social Network Analysis, Clustering, Information - Propagation, Community Detection

Abstract

The career guidance in higher education is an increasing concern in student’s needs. The purpose of the study is to analyze the links between source node (Guidance Experts) and the target Node (Students). This paper presents the proximity of a node has analyzed the influential link position between the vertices in the core-periphery structure. The use of fuzzy logic and graph metric properties of Nodes used to find the Node selection criterion in terms of influence propagation. The approach yielded results with good accuracy.

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Published

2020-01-01

How to Cite

Rohini A, SudalaiMuthu T, & Tanupriya Choudhury. (2020). Higher Education Career Guidance through Social Network Analysis. International Journal of Computer Information Systems and Industrial Management Applications, 12, 11. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/467

Issue

Vol. 12 (2020)

Section

Original Articles

License

Copyright (c) 2023 International Journal of Computer Information Systems and Industrial Management Applications

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