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Part of the book series: Understanding Complex Systems ((UCS))

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Abstract

We examine the effects of heterogeneous social interactions in a numerical model of language change based on the evolutionary utterance based theory developed by Croft. Two or more variants of a linguistic variable compete in the population. Social interactions can be separated into a symmetric weighted network of social contact probabilities, and asymmetric weightings given by speakers to each other’s utterances, that is, social influence. Remarkably, when interactions are symmetric between speakers, the network structure has no effect on the mean time to consensus. On the other hand large disparities in social influence, even in rather homogeneous networks, can dramatically affect mean time to reach consensus (fixation). We explore a range of representative scenarios, to give a general picture of both aspects of social interactions, in the absence of explicit selection for any particular variant.

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References

  1. Baxter, G.J.: A voter model with time dependent flip rates. J. Stat. Mech. 2011, P09005 (2011)

    Google Scholar 

  2. Baxter, G.J., Blythe, R.A., Croft, W., McKane, A.J.: Utterance selection model of language change. Phys. Rev. E 73, 046118 (2006)

    Google Scholar 

  3. Baxter, G.J., Blythe, R.A., Croft, W., McKane, A.J.: Modeling language change: An evaluation of Trudgill’s theory for the emergence of New Zealand English. Language Variation and Change 21, 257–296 (2009)

    Article  Google Scholar 

  4. Baxter, G.J., Blythe, R.A., McKane, A.J.: Fixation and consensus times on a network: a unified approach. Phys. Rev. Lett. 101, 258701 (2008)

    Article  Google Scholar 

  5. Baxter, G.J., Blythe, R.A., McKane, A.J.: Fast fixation with a generic network structure. Phys. Rev. E. 86, 031142 (2012)

    Google Scholar 

  6. Blythe, R.A.: Ordering in voter models on networks: exact reduction to a single-coordinate diffusion. J. Phys. A: Math. Theor. 43(38), 385003 (2010)

    Article  MathSciNet  Google Scholar 

  7. Blythe, R.A., Croft, W.: S-curves and the mechanism of propagation in language change. Language 88, 269 (2012)

    Article  Google Scholar 

  8. Bybee, J.L.: Phonology and language use. Cambridge University Press, Cambridge (2001)

    Book  Google Scholar 

  9. Castellano, C., Fortunato, S., Loreto, V.: Statistical physics of social dynamics. Rev. Mod. Phys. 81, 591–646 (2009)

    Article  Google Scholar 

  10. Croft, W.: Explaining Language Change: An Evolutionary Approach. Long-man Linguistics Library. Pearson Education, Harlow (2000)

    Google Scholar 

  11. Crow, J.F., Kimura, M.: An Introduction to Population Genetics Theory. Harper and Row, New York (1970)

    MATH  Google Scholar 

  12. Dall’Asta, L., Baronchelli, A., Barrat, A., Loreto, V.: Non-equilibrium dynamics of language games on complex networks. Phys. Rev. E 74, 036105 (2006)

    Google Scholar 

  13. Fagyal, Z., Swarup, S., Escobar, A.M., Gasser, L., Lakkaraju, K.: Centers and peripheries: Network roles in language change. Lingua 120, 2061–2079 (2010)

    Article  MATH  Google Scholar 

  14. Gardiner, C.W.: Handbook of Stochastic Methods, 3rd edn. Springer, Berlin (2004)

    Book  Google Scholar 

  15. Gordon, E., Campbell, L., Hey, J., MacLagan, M., Sudbury, A., Trudgill, P.: New Zealand English: its Origins and Evolution. Cambridge University Press, Cambridge (2004)

    Book  Google Scholar 

  16. Hawkins, J.A.: Efficiency and Complexity in Grammars. Oxford University Press, Oxford (2004)

    Book  Google Scholar 

  17. Hubbell, S.: The Unified Neutral Theory of Biodiversity, Princeton (2001)

    Google Scholar 

  18. Hull, D.L.: Science as a Process: An Evolutionary Account of the Social and Conceptual Development of Science. University of Chicago Press, Chicago (1988)

    Book  Google Scholar 

  19. Hull, D.L.: Science and selection: essays on biological evolution and the philosophy of science. Cambridge University Press, Cambridge (2001)

    Google Scholar 

  20. Kandler, A., Steele, J.: Ecological Models of Language Competition. Biol. Theor. 3, 164–173 (2008)

    Article  Google Scholar 

  21. Kirby, S.: Natural Language From Artificial Life. Artif. Life 8, 185 (2002)

    Article  Google Scholar 

  22. Labov, W.: Principles of Linguistic Change: Social Factors. Blackwell, Oxford (2001)

    Google Scholar 

  23. LePage, R.B., Tabouret-Keller, A.: Acts of Identity. Cambridge University Press, Cambridge (1985)

    Google Scholar 

  24. Masuda, N., Gibert, N., Redner, S.: Heterogeneous voter models. Phys. Rev. E 82, 010103(R) (2010)

    Google Scholar 

  25. McMahon, A.M.S.: Understanding Language Change. Cambridge University Press (1994)

    Google Scholar 

  26. Niyogi, P., Berwick, R.C.: Evolutionary consequences of language learning. Linguistics Philos. 20, 697 (1997)

    Article  Google Scholar 

  27. Nowak, M.A., Komarova, N.L., Niyogi, P.: Evolution of universal grammar. Science 291, 114 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  28. Ohala, J.: The origin of sound patterns in vocal tract constraints. In: MacNeilage, P.F. (ed.) The Production of Speech, pp. 189–216. Springer, New York (1983)

    Chapter  Google Scholar 

  29. Pierrehumbert, J.: Phonetic diversity, statistical learning, and acquisition of phonology. Language and Speech 45, 115–154 (2003)

    Article  Google Scholar 

  30. Risken, H.: The Fokker-Planck Equation. Study. Springer, Berlin (1989)

    Book  Google Scholar 

  31. Trudgill, P.: New-dialect formation: the inevitability of colonial Englishes. Edinburgh University Press, Edinburgh (2004)

    MATH  Google Scholar 

  32. Vogt, P.: Modeling Interactions between Language Evolution and Demography. Human Biology 81, Article 7 (2009)

    Google Scholar 

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Baxter, G.J. (2016). Social Networks and Beyond in Language Change. In: Mehler, A., Lücking, A., Banisch, S., Blanchard, P., Job, B. (eds) Towards a Theoretical Framework for Analyzing Complex Linguistic Networks. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47238-5_12

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  • DOI: https://doi.org/10.1007/978-3-662-47238-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

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