Network model of human language
arXiv:0709.3045 · doi:10.1016/j.physa.2007.09.027
Abstract
The phenomenon of human language is widely studied from various points of view. It is interesting not only for social scientists, antropologists or philosophers, but also for those, interesting in the network dynamics. In several recent papers word web, or language as a graph has been investigated. In this paper I revise recent studies of syntactical word web. I present a model of growing network in which such processes as node addition, edge rewiring and new link creation are taken into account. I argue, that this model is a satisfactory minimal model explaining measured data.
10 pages, 1 fig, to appear in Physica A
References in corpus (7)
- Emergence of scaling in random networks
- Statistical mechanics of complex networks
- Evolution of networks
- Small-world properties of the Indian Railway network
- Dynamics of rumor propagation on small-world networks
- Topology of the conceptual network of language
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Cited by in corpus (6)
- Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications
- Languages cool as they expand: Allometric scaling and the decreasing need for new words
- In narrative texts punctuation marks obey the same statistics as words
- Modeling the average shortest path length in growth of word-adjacency networks
- The Dynamics of Knowledge Acquisition via Self-Learning in Complex Networks
- Average shortest-path length in word-adjacency networks: Chinese versus English