Abstract
Education is the process of facilitating learning or the acquisition of knowledge, skills, values, beliefs and habits. This process of acquiring, adapting and transmitting knowledge depends on so many social factors. Social network analysis is a growing body of research with a great deal of opportunities. The study of social network is a multidisciplinary area involving social, mathematical, statistical and computer sciences. The idea is to map social relations and to look for parameters which will eventually lead to a better understanding of how relations work, information flows and organizations collaborate. This paper is an attempt to understand the impact of social factors in education by the help of a weighted graph and to find how the factors, viz. parents, relatives, teachers, friends, reading materials, visual medias, social medias, homely atmosphere, institutional atmosphere, health conditions, grasping capacity and memory power, that directly or indirectly influence in their education.
Literacy in itself is no education. Literacy is not the end of education or even the beginning. By education, I mean an all-round drawing out of the best in the child and man-body, mind and spirit.
—Mahatma Gandhi
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Wasserman S, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press, Cambridge, ENG and New York
Brandes U, Erlebach T (2005) Network analysis. Springer, New York
Anheier HK, Gerhards J, Romo FP (1995) Forms of capital and social structure in cultural fields: examining Bourdieu’s social topography. The American Journal of Sociology 100:859–903
De Nooy Wouter (2003) Fields and networks: correspondence analysis and social network analysis in the framework of field theory. Poetics 31(56):305–327
Carringtom PJ, Scott J, Staneywasserman S (2005) Models and methods in social network analysis. Cambridge University Press, Cambridge
Knoke David, Yang Song (2007) Social network analysis (II). SAGE publications Ltd., Thousand Oaks
Douglas B (2000) Introduction to graph theory (II). Pearson, London
Scott J (2017) Social network analysis (IV). SAGE, London
Wang C, Lizardo O, Hachenetal D (2012) A dyadic reciprocity index for repeated interaction networks. ZU064-05-FPR
Durkheim Emile (1895) The rules of sociological method. The first and most fundamental rule is: consider social facts as things, p. 14
Barcelo H, Laubenbacher R (2006) Graph theoretic tools for dynamic network analysis
Arumugam S, Haughton B, Vasanthi B, Zhang C (2014) Reciprocity in social networks—a case study in Tamil Nadu India. CS-BIGS 5(2):126–131
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Deepa, V.G., Aparna Lakshmanan, S., Sreeja, V.N. (2019). The Role of Social Factors in Education: A Case Study in Social Network Perspective. In: Peng, SL., Dey, N., Bundele, M. (eds) Computing and Network Sustainability. Lecture Notes in Networks and Systems, vol 75. Springer, Singapore. https://doi.org/10.1007/978-981-13-7150-9_7
Download citation
DOI: https://doi.org/10.1007/978-981-13-7150-9_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-7149-3
Online ISBN: 978-981-13-7150-9
eBook Packages: EngineeringEngineering (R0)