Social Network Accelerates to Strengthen the Relationship between Teachers and Their Students

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    To make sure that relationship can play an important role in building community as well as knowledge; this article is going to highlight the relationship between teacher-students, teacher-teachers, and student-students by using communities’ detection in social network, and this is done by calculating betweenness for all edges and applying the edge removal approach. This paper will make a bridge between the students and the teachers to decide whether this interaction helps to encourage and increase the level of students as well as the teacher performance.


  • Keywords

    Social network, relationship, community, betweenness, edge removal approach.

  • References

      [1] Grabner-Krautera, S. and E. Kaluscha. 2003. Empirical research in on-line trust: a review and critical assessment, International Journal of Human-Computer Studies, 58(6), 783–812.

      [2] Van Zyl, A. 2009. The impact of Social Networking 2.0 on organisations, (December 1, 2011)

      [3] Wasserman, S. and K. Faust. 1994. Social network analysis. Cambridge, MA: Cambridge University Press.

      [4] Hampton, K. and B. Wellman. 2003. Neighboring in Netville: How the Internet supports community and social capital in a wired suburb. City & Community, 2(4), 277–311.

      [5] Wang, Y. and G. Wong. 1987. Stochastic blockmodels for directed graphs, 82 (8)K

      [6] Mika, P. October 2005. Flink: Semantic web technology for the extraction and analysis of social networks. Journal of Web Semantics 3, pp. 211–223.

      [7] Lada, A. and A.A. Eytan. 2003. Friends and Neighbors on the Web. Social networks 25, 211-230

      [8] Strogatz S.H. 2001. Exploring complex networks. Nature (London) 410:268–276, pmid:11258382 doi:10.1038/35065725

      [9] Leann, M.T., Z. Ann and J. Farnham. 1998. Social relationships in locality and livelihood: The embeddedness of rural economic restructuring”, Journal of Rural Studies 14 (2), pp. 203-219 (97)00037-5

      [10] Viegas, F.B., S. Golder and J. Donath. 2006. Visualizing Email Content: Portraying Relationships from Conversational Histories. Proc. pp. 979–988.

      [11] Newman, M. E. J. 2001. The Structure Of Scientific Collaboration Networks.Pnas 98 (2) 404-409; https://Doi.Org/10.1073/Pnas.98.2.404

      [12] Barabási, A. L. and R. Albert. 1999. Emergence of Scaling In Random Networks. Science 286, 509–512

      [13] Hanneman, A. and M. Riddle. Introduction to social network methods. online at hanneman/nettext/

      [14] Wilson, C., Sala, A., K. P. N. Puttaswamy and B. Y. Zhao. 2012. Beyond social graphs: User interactions in online social networks and their implications. ACM Trans. DOI : 10.1145/2382616.2382620

      [15] Garriss, S., M.Kaminsky, M. J.Freedman, B. Karp, D. Mazi‘Eres, and H. Yu. 2006. Re: Reliable email. In Proceedings of the USENIX Symposium on Networked Systems Design and Implementation (NSDI’06).

      [16] Singh, H and R Sharma. 2012. Role of Adjacency Matrix & Adjacency List in Graph Theory August 2012. International Journal of Computers & Technology.

      [17] Stacey, S. G. A. 2008. New Adjacency Matrix for Finite Graphs. Advances in Applied Clifford Algebras 18(3):979-991. DOI: 10.1007/s00006-008-0116-5

      [18] Girvan, M. and M. E. J. Newman. 2002. Community structure in social and biological networks. Edited by Lawrence A. Shepp, Rutgers, State University of New Jersey–New Brunswick, Piscataway, NJ.

      [19] Hashimoto, T.B., M. Nagasaki, K. Kojima and S.Miyano. 2009. A node and edge betweenness based fast layout algorithm for large scale networks”. BMC Bioinformatics. doi:10.1186/1471-2105-10-19.

      [20] El Emary, I. and A.Brzozowska (Eds.). 2017. Shaping the Future of ICT. Boca Raton: CRC Press. Chapter 6 pages Artificial Intelligence in E-Learning.

      [21] AlaouiHarouni, H., E. Hachem. and C. Ziti. 2016. Data mining for the service of intelligent tutoring system. Int.J.Mult.disc.scie, 1(1), 61 -65




Article ID: 23242
DOI: 10.14419/ijet.v7i4.32.23242

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.