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Small World Networks in Education Sciences

  • Miguel Arcos-Argudo
  • Fernando Pesántez-Avilés
  • Diego Peñaloza-Rivera
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 785)

Abstract

Networks with a small world topology are distinguished by the characteristics of their connections, allowing two nodes, distant from each other, to be linked by a shorter path. This work relates the concept of small world network in the area of Education Sciences in particular in the integration of teaching cloister in the world system of higher education. A relation is established with micro-world and nanoworld concepts defined in previous works and the term of constellations of small worlds is defined, which allows to group subsets of the network that we analyze. It is concluded that the concept of small world network can be understood in the integration of teaching cloisters to the world system of higher education, which would allow to increase the quality of teaching and research work in Latin America.

Keywords

Small worlds networks Micro-worlds Nanoworlds Higher education Small worlds constellations 

References

  1. 1.
    Watts, D.J., Strogatz, S.H.: Collective dynamics of ‘small-world’ networks. Nature 393(6684), 440–442 (1998)CrossRefGoogle Scholar
  2. 2.
    Romanchukov, S., Berestneva, E.V.: Issues of application design for social studies. In: The European Proceedings of Social & Behavioural Sciences (EpSBS), Lifelong Wellbeing in the World (WELLSO 2015)—Nicosia, 72015, vol. 7, pp. 88–94 (2016)Google Scholar
  3. 3.
    Opsahl, T., Vernet, A., Alnuaimi, T., George, G.: Revisiting the small-world phenomenon: efficiency variation and classification of small-world networks. Organ. Res. Methods 20(1), 149–173 (2017)CrossRefGoogle Scholar
  4. 4.
    Sherchan, W., Nepal, S., Paris, C.: A survey of trust in social networks. ACM Comput. Surv. (CSUR) 45(4), 47 (2013)CrossRefGoogle Scholar
  5. 5.
    Rainy, J.M.S., Nesasudha, M.: Neighbor discovery in ad-hoc networks using dual band scheme. In: 2015 2nd International Conference on Electronics and Communication Systems (ICECS), pp. 1216–1219. IEEE, February 2015Google Scholar
  6. 6.
    Dörfler, F., Chertkov, M., Bullo, F.: Synchronization in complex oscillator networks and smart grids. Proc. Natl. Acad. Sci. 110(6), 2005–2010 (2013)CrossRefGoogle Scholar
  7. 7.
    Hsu, C.-I., Shih, H.-H.: Transmission and control of an emerging influenza pandemic in a small-world airline network. Accid. Anal. Prev. 42(1), 93–100 (2010)CrossRefGoogle Scholar
  8. 8.
    Boguñá, M., Castellano, C., Pastor-Satorras, R.: Nature of the epidemic threshold for the susceptible-infected-susceptible dynamics in networks. Phys. Rev. Lett. 111(6), 068701 (2013)CrossRefGoogle Scholar
  9. 9.
    Bassett, D.S., Bullmore, E.T.: Small-world brain networks revisited. Neurosci. 23(5), 499–516 (2017)Google Scholar
  10. 10.
    Braun, U., Muldoon, S.F., Bassett, D.S.: On human brain networks in health and disease. eLS (2015)Google Scholar
  11. 11.
    Arcos Argudo, M.: Comparative Study between Kleinberg Algorithm and Biased Selection Algorithm for Construction of Small World Networks. Computación y Sistemas 21(2), 325–336 (2017)CrossRefGoogle Scholar
  12. 12.
    Arcos Argudo, M., Plaza Cordero, A., Bojorque Chasi, R.: Random Samplings using Metropolis Hastings Algorithm (in revision)Google Scholar
  13. 13.
    Pesántez-Avilés, F., Wong, V.C.L., Robles-Bykbaev, V., Borck-Vintimilla, E., Flores-Andrade, S., Pineda-Villa, Y., Pacurucu-Pacurucu, A.: An intelligent ecosystem to support the psychological diagnosis and intervention of children under social vulnerability. In: 11th International Symposium on Medical Information Processing and Analysis (SIPAIM 2015), pp. 968116–968116. International Society for Optics and Photonics, December 2015Google Scholar
  14. 14.
    Pesántez-Avilés, F., Wong, V.C.L., Robles-Bykbaev, V., Pacurucu-Pacurucu, A., Tapia-Jaya, C., San Andrés-Becerra, I., Borck-Vintimilla, E., Ingavélez-Guerra, P.: Intelligent nano-worlds: a new ICT based tool for mental health care of children living under social vulnerability. In: Advances in Human Factors and Ergonomics in Healthcare, pp. 403–412). Springer International Publishing (2017)Google Scholar
  15. 15.
    Wenger, E.: Communities of Practice: Learning, Meaning, and Identity. Cambridge university press (1998)Google Scholar
  16. 16.
    Arcos-Argudo, M., García-López, J., Pozo-Coronado, L.M.: Structure of cycles in Minimal Strong Digraphs, Discrete Applied Mathematics (in review)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Rethinking the Education – Educational Innovation GroupSalesian Polytechnic UniversityCuencaEcuador
  2. 2.Research Group on Artificial Intelligence and Assistance Technologies (GIIATA)Salesian Polytechnic UniversityCuencaEcuador
  3. 3.Cátedra UNESCO – Education for InclusionSalesian Polytechnic UniversityCuencaEcuador

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