@Article{CiCP-3-4,
author = {},
title = {Language Change and Social Networks},
journal = {Communications in Computational Physics},
year = {2008},
volume = {3},
number = {4},
pages = {935--949},
abstract = {<p style="text-align: justify;">Social networks play an important role in determining the dynamics and
outcome of language change. Early empirical studies only examine small-scale local social networks, and focus on the relationship between the individual speakers&#39; linguistic behaviors and their characteristics in the network. In contrast, computer
models can provide an efficient tool to consider large-scale networks with different
structures and discuss the long-term effect of individuals&#39; learning and interaction on
language change. This paper presents an agent-based computer model which simulates language change as a process of innovation diffusion, to address the threshold
problem of language change. In the model, the population is implemented as a network of agents with age differences and different learning abilities, and the population
is changing, with new agents born periodically to replace old ones. Four typical types
of networks and their effect on the diffusion dynamics are examined. When the functional bias is sufficiently high, innovations always diffuse to the whole population in
a linear manner in <em>regular</em> and <em>small-world</em> networks, but diffuse quickly in a sharp
S-curve in <em>random</em> and <em>scale-free</em> networks. The success rate of diffusion is higher in
regular and small-world networks than in random and scale-free networks. In addition, the model shows that as long as the population contains a small number of
statistical learners who can learn and use both linguistic variants statistically according to the impact of these variants in the input, there is a very high probability for
linguistic innovations with only small functional advantage to overcome the threshold
of diffusion.</p>},
issn = {1991-7120},
doi = {https://doi.org/2008-CiCP-7882},
url = {https://global-sci.com/article/81229/language-change-and-social-networks}
}