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Elites in Social Networks: An Axiomatic Approach

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Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Abstract

Recent evidence shows that in many societies the relative sizes of the economic and social elites are continuously shrinking. Is this a natural social phenomenon? We try to address this question by studying a special case of a core-periphery structure composed of a social elite, namely, a relatively small but well-connected and highly influential group of powerful individuals, and the rest of society, the periphery. Herein, we present a novel axiom-based model for the mutual influence between the elite and the periphery. Assuming a simple set of axioms, capturing the elite’s dominance, robustness and compactness, we are able to draw strong conclusions about the elite-periphery structure. In particular, we show that the elite size is sublinear in the network size in social networks adhering to the axioms. We note that this is in controversy to the common belief that the elite size converges to a linear fraction of society (most recently claimed to be 1%).

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Notes

  1. 1.

    To emphasize our focus on networks whose core is an elite, we denote the core set of the partition by \(\mathcal{E}\) rather than \(\mathcal{C}\).

References

  1. Alberich, R., Miro-Julia, J., Rosselló, F.: Marvel universe looks almost like a real social network. arXiv preprint cond-mat/0202174 (2002)

    Google Scholar 

  2. Andersen, R., Borgs, C., Chayes, J.T., Feige, U., Flaxman, A.D., Kalai, A., Mirrokni, V.S., Tennenholtz, M.: Trust-based recommendation systems: an axiomatic approach. In: Proceedings of the WWW, pp. 199–208 (2008)

    Google Scholar 

  3. Avin, C., Lotker, Z., Nahum, Y., Peleg, D.: Core size and densification in preferential attachment networks. In: Proceedings of the 42nd Int. Colloq. on Automata, Languages, and Programming (ICALP), pp. 492–503 (2015)

    Google Scholar 

  4. Avin, C., Lotker, Z., Peleg, D., Pignolet, Y.A., Turkel, I.: Elites in social networks: an axiomatic approach. http://bit.ly/2fqLPUT (2016)

  5. Borgatti, S., Everett, M.: Models of core/periphery structures. Soc. Netw. 21 (4), 375–395 (2000)

    Article  Google Scholar 

  6. Borgatti, S., Everett, M., Freeman, L.: Ucinet: Software for Social Network Analysis. Analytic Technologies, Harvard (2002)

    Google Scholar 

  7. Borgatti, S., Everett, M., Johnson, J.: Analyzing Social Networks. Sage, London (2013)

    Google Scholar 

  8. Chung, F.R.K., Lu, L.: Complex Graphs and Networks. American Mathematical Society, Providence (2006)

    Book  MATH  Google Scholar 

  9. Csermely, P., London, A., Wu, L.-Y., Uzzi, B.: Structure and dynamics of core/periphery networks. J. Complex Netw. 1 (2), 93–123 (2013)

    Article  Google Scholar 

  10. Cucuringu, M., Rombach, P., Lee, S.H., Porter, M.A.: Detection of core-periphery structure in networks using spectral methods and geodesic paths. Eur. J. Appl. Math. 27, 846–887 (2016)

    Article  MathSciNet  Google Scholar 

  11. Da Silva, M.R., Ma, H., Zeng, A.-P.: Centrality, network capacity, and modularity as parameters to analyze the core-periphery structure in metabolic networks. Proc. IEEE 96 (8), 1411–1420 (2008)

    Article  Google Scholar 

  12. Dunbar, R.: Neocortex size as a constraint on group size in primates. J. Hum. Evol. 22 (6), 469–493 (1992)

    Article  Google Scholar 

  13. Facundo, A., Atkinson, A.B., Piketty, T., Saez, E.: The World Top Incomes Database (2013)

    Google Scholar 

  14. Faust, K., Wasserman, S.: Blockmodels: interpretation and evaluation. Soc. Netw. 14, 5–61 (1992)

    Article  Google Scholar 

  15. Galeotti, A., Goyal, S.: The law of the few. Am. Econ. Rev. 100, 1468–1492 (2010)

    Article  Google Scholar 

  16. Geiger, D., Paz, A., Pearl, J.: Axioms and algorithms for inferences involving probabilistic independence. Inf. Comput. 91 (1), 128–141 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  17. Hojman, D.A., Szeidl, A.: Core and periphery in networks. J. Econ. Theory 139 (1), 295–309 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  18. Holme, P.: Core-periphery organization of complex networks. Phys. Rev. E 72 (4), 046111 (2005)

    Article  ADS  Google Scholar 

  19. Mislove, A., Marcon, M., Gummadi, K.P., Druschel, P., Bhattacharjee, B.: Measurement and analysis of online social networks. In: Proceedings of the 7th ACM SIGCOMM Conf. on Internet Measurement, pp. 29–42. ACM, New York (2007)

    Google Scholar 

  20. Oxfam International: Working for the Few: Political Capture and Economic Inequality (2014)

    Google Scholar 

  21. Pareto, V.: The Mind and Society. American Mathematical Society, New York (1935)

    Google Scholar 

  22. Piketty, T.: Capital in the Twenty-First Century. Harvard University Press, Cambridge (2014)

    Book  Google Scholar 

  23. Rombach, M.P., Porter, M.A., Fowler, J.H., Mucha, P.J.: Core-periphery structure in networks. SIAM J. Appl. Math. 74 (1), 167–190 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  24. Rossa, F.D., Dercole, F., Piccardi, C.: Profiling core-periphery network structure by random walkers. Sci. Rep. 3, 1467 (2013)

    Article  ADS  Google Scholar 

  25. Yang, J., Leskovec, J.: Overlapping communities explain core–periphery organization of networks. Proc. IEEE 102 (12), 1892–1902 (2014)

    Article  Google Scholar 

  26. Zhang, X., Martin, T., Newman, M. E.J.: Identification of core-periphery structure in networks. Phys. Rev. E 91, 032803 (2015)

    Article  ADS  Google Scholar 

  27. Zhou, S., Mondragón, R.: The rich-club phenomenon in the internet topology. IEEE Commun. Lett. 8, 180–182 (2004)

    Article  Google Scholar 

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Acknowledgements

Supported in part by the Israel Science Foundation (grant 1549/13).

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Correspondence to Chen Avin .

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Avin, C., Lotker, Z., Peleg, D., Pignolet, YA., Turkel, I. (2017). Elites in Social Networks: An Axiomatic Approach. In: Shmueli, E., Barzel, B., Puzis, R. (eds) 3rd International Winter School and Conference on Network Science . NetSci-X 2017. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-55471-6_7

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