Advertisement

Intelligent Observatory System on Information Technologies, Social Networks and Infrared to Analyze and Predict Social Mutations

  • Israel EzznatiEmail author
  • Loubna Cherrat
  • Mostafa Ezziyyani
Conference paper
  • 27 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1104)

Abstract

The use of new technologies and industrialization in everyday life have a direct impact on the consequences of cultural, scientific, and demographic change that diversifies and densifies social relations, and makes individuals more interdependent and complementary. The large amount of data (Big Data) derived from the use of New Technologies solutions to generate a knowledge emphasizes the emergence of new values born of Protestantism and which encourage individuals to search for perfection in economic and social activities. The main objective of this paper is to set up an Intelligent Observatory System on Information Technologies and Social Networks to Analyze, Predict, Explain and Better Understand Social Mutations. Therefore, the system that we propose in this paper puts forward social indicators through learning systems and data mining solutions, for qualitative measures and optimized intelligent calculus based on the behavior and interaction of individuals and/or and social groups. Allowing to take all the necessary measures to foresee the risks and to quantify the rate of the negative impact on the social mutation, and to understand the stakes of the social relations in a given society (For example: the passage from an ideology to a other, disappearance of cultures and appearance of others). This article discusses challenges and role of Big Data Analytics in Social Mutations sector through the use of the new technologies. Following a qualitative approach, this paper reveals the actions currently undertaken by the two categories in the Morocain societies in order to understand their internal and external behaviour.

Keywords

National observatory Social transfer technology Social Networks Big-Data 

References

  1. 1.
    Agrawal, R., Rajagopalan, S., Srikant, R., Xu, Y.: Mining newsgroups using networks arising from social behavior. In: Proceedings of the 12th International Conference on World Wide Web (2003)Google Scholar
  2. 2.
    Anand, P., Walker, M., Abbott, R., Fox Tree, J.E., Bowmani, R., Minor, M.: Cats rule and dogs drool! Classifying stance in online debate. In: Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (2011)Google Scholar
  3. 3.
    Bach, S., Huang, B., London, B., Getoor, L.: Hinge-loss Markov random fields: convex inference for structured prediction. In: Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (2013)Google Scholar
  4. 4.
    Barahona, F.: On the computational complexity of Ising spin glass models. J. Phys. A: Math. Gen. 15(10), 3241–3253 (1982)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Blitzer, J., Dredze, M., Pereira, F.: Biographies, bollywood, boom-boxes and blenders: domain adaptation for sentiment classification. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (2007)Google Scholar
  6. 6.
    Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn. 3(1), 1–122 (2011)CrossRefGoogle Scholar
  7. 7.
    Broecheler, M., Mihalkova, L., Getoor, L.: Probabilistic similarity logic. In: Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (2010)Google Scholar
  8. 8.
    Cartwright, D., Harary, F.: Structure balance: a generalization of Heider’s theory. Psychol. Rev. 63(5), 277–293 (1956)CrossRefGoogle Scholar
  9. 9.
    Dunbar, R.I.: Gossip in evolutionary perspective. Rev. Gen. Psychol. 8(2), 100–110 (2004)CrossRefGoogle Scholar
  10. 10.
    Barrett, L.F., Russell, J.A.: Independence and bipolarity in the structure of affect. J. Pers. Soc. Psychol. 74(4), 967–984 (1998)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Israel Ezznati
    • 1
    Email author
  • Loubna Cherrat
    • 2
  • Mostafa Ezziyyani
    • 2
  1. 1.Faculty of Sciences Economic and SocialUAETangierMorocco
  2. 2.Faculty of Science and TechniquesUAETangierMorocco

Personalised recommendations