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Social Networks and Surveillance for Society pp 101–113Cite as

We Shall Not Only Survive to the Future of Social Networks

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Part of the book series: Lecture Notes in Social Networks ((LNSN))

Abstract

Networks of social interactions and personal relationships are now digitized within the social Web. It induces new societal uses and new analytic processes such as viral marketing, but surveillance could also play a major role in the future of social networks.

The story of social networks analysis started in the early 1930s with Moreno’s work introducing sociograms and sociometry for the study of group dynamics. It found a renewal in the ability to treat massive data thanks to computers, more than 50 years later.

We propose a double-sided view of the story of social networks, exposing both the economic and societal stakes tied by the common role of specific analytics, toward the multiple futures of social networks.

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Notes

  1. 1.

    Source: http://scimaps.org/mapdetail/europe_raw_cotton_im_3

  2. 2.

    https://d3js.org/

  3. 3.

    https://bost.ocks.org/mike/uberdata/

  4. 4.

    And “100% of losers are players.”

  5. 5.

    Wolfram Research also develops a computational knowledge engine.

  6. 6.

    http://www.kdnuggets.com/2015/06/top-30-social-network-analysis-visualization-tools.html.

  7. 7.

    Source: www.letemps.ch/opinions/2015/02/12/nouvelles-normes-transparence.

References

  1. G.W. Allport, The historical background of modern social psychology, in Handbook of Social Psychology, ed. by G. Lindzey, vol. 1 (Addison-Wesley, Cambridge, 1954), pp. 3–56

    Google Scholar 

  2. V.D. Blondel, J. Guillaume, R. Lambiotte, E. Lefebvre, Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp. 10008 (2008). http://dx.doi.org/10.1088/1742-5468/2008/10/P10008

  3. U. Brandes, D. Fleischer, Centrality measures based on current flow, in 22nd Symposium on Theoretical Aspects of Computer Science (STACS 05). Lecture Notes on Computer Science, vol. 3404 (Springer, Berlin, 2005), pp. 533–544

    Google Scholar 

  4. L. Breiman, Random forests. Mach. Learn. 45(1), 5–32 (2001)

    Article  Google Scholar 

  5. R. Brown, Social Psychology (Free Press, New York, 1965)

    Google Scholar 

  6. N. Chomsky, Z. Herman, Manufacturing Consent: The Political Economy of the Mass Media (Pantheon Books, New York, 1988)

    Google Scholar 

  7. M. Foucault, Discipline and Punish: The Birth of the Prison (Pantheon Books, New York, 1977)

    Google Scholar 

  8. L. Freeman, Centrality in social networks conceptual clarification. Soc. Netw. 1(3), 215–239 (1979). http://dx.doi.org/10.1016/0378-8733(78)90021-7

  9. L. Freeman, W. Bloomberg, S. Koff, M. Sunshine, T. Fararo, Local Community Leadership (Syracuse, New York, 1960)

    Google Scholar 

  10. D. Fudenberg, J. Tirole, Extensive form games, in Game Theory (MIT Press, Cambridge, 1991), pp. 67–106

    Google Scholar 

  11. F. Galton, Vox populi. Nature 75, 450–451 (1907)

    Article  Google Scholar 

  12. O. Gil-Or, Building consumer demand by using viral marketing tactics within an online social network. Adv. Manag. 3(7), 7–14 (2010)

    Google Scholar 

  13. E. Holoan, M. Melia, D. MacMullen, C. Pahl, Adaptive e-learning content generation based on semantic web technology, in International Workshop on Applications of Semantic Web Technologies for E-Learning (2005)

    Google Scholar 

  14. R.F. Kizilcec, C. Piech, E. Schneider, Deconstructing disengagement: analyzing learner subpopulations in massive open online courses, in Proceedings of the Third International Conference on Learning Analytics and Knowledge, LAK ’13 (ACM, New York, NY, 2013), pp. 170–179

    Google Scholar 

  15. D. Knoke, Emerging Trends in Social Network Analysis of Terrorism and Counterterrorism (Wiley, New York, 2015)

    Book  Google Scholar 

  16. A. Krizhevsky, I. Sutskever, G. Hinton, Imagenet classification with deep convolutional neural networks, in Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Lake Tahoe, Nevada (2012), pp. 1106–1114

    Google Scholar 

  17. J. Moreno, Who shall survive ? - (Trad. fr) Fondements de la sociométrie. Presses Universitaires de France (1934)

    Google Scholar 

  18. J.L. Moreno, Who Shall Survive: A New Approach to the Problem of Human Interrelations (Nervous and Mental Disease Publishing Co, Washington, 1934)

    Book  Google Scholar 

  19. S.E. Robertson, K. Sparck Jones, Relevance weighting of search terms. J. Am. Soc. Inf. Sci. 27(3), 129–146 (1976)

    Article  Google Scholar 

  20. G. Salton, M. MacGill, Introduction to modern information retrieval, in Retrieval Refinements, chap. 6 (McGraw-Hill Book, New York, 1986), pp. 201–215

    Google Scholar 

  21. K. Sparck Jones, S. Walker, S.E. Robertson, A probabilistic model of information retrieval: development and comparative experiments. Inf. Process. Manag. Int. J. 36, 779–808 (2000)

    Article  Google Scholar 

  22. J. Surowiecki, The Wisdom of Crowds (Anchor Books, New York, 2005)

    Google Scholar 

  23. C. Thovex, F. Trichet, Skills networks and professional social networks analysis: from social networks analysis to predictive knowledge analysis, in Exploratory Analysis for Dynamic Social Networks (iConcept Press Ltd, Kowloon, 2012), pp. 31–58

    Google Scholar 

  24. C. Thovex, F. Trichet, An epistemic equivalence for predictive social networks Analysis, in Web Information Systems Engineering - WISE 2011 and 2012 Workshops, Sydney, Australia and Paphos, Cyprus. Lecture Notes in Computer Sciences, vol. 7652 (Springer, Berlin, 2013), pp. 201–214

    Google Scholar 

  25. J. Von Neumann, Theory of Games and Economic Behavior (Princeton University Press, Princeton, 1944)

    Google Scholar 

  26. P. Wilinski, B. Solaiman, A. Hillion, W. Czarnecki, Toward the border between neural and Markovian paradigms. IEEE Trans. Syst. Man Cybern. Part B 28(2), 146–159 (1998)

    Article  Google Scholar 

  27. H. Zou, T. Hastie, Regularization and variable selection via the elastic net. J. R. Stat. Soc. B 67, 301–320 (2005)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. French-Mexican Laboratory on Computer Science and Control (LAFMIA - UMI CNRS 3175), Universidad de Las Americas, Puebla, Mexico, DATA2B, Rennes, France

    Christophe Thovex

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  1. Christophe Thovex
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Correspondence to Christophe Thovex .

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Editors and Affiliations

  1. Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey

    Tansel Özyer

  2. Department of Computer Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

  3. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Reda Alhajj

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Thovex, C. (2019). We Shall Not Only Survive to the Future of Social Networks. In: Özyer, T., Bakshi, S., Alhajj, R. (eds) Social Networks and Surveillance for Society. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-78256-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-78256-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78255-3

  • Online ISBN: 978-3-319-78256-0

  • eBook Packages: Social SciencesSocial Sciences (R0)

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