Zipf's law from a communicative phase transition
Zipf's law from a communicative phase transition
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DOI:
10.1140/epjb/e2005-00340-y
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发表时间:
2005-10-01
影响因子:
1.6
通讯作者:
Cancho, RFI
中科院分区:
文献类型:
--
作者:
Cancho, RFI
Here we present a new model for Zipf's law in human word frequencies. The model defines the goal and the cost of communication using information theory. The model shows a continuous phase transition from a no communication to a perfect communication phase. Scaling consistent with Zipf's law is found in the boundary between phases. The exponents are consistent with minimizing the entropy of words. The model differs from a previous model [Ferrer i Cancho, Sole, Proc. Natl. Acad. Sci. USA 100, 788-791 (2003)] in two aspects. First, it assumes that the probability of experiencing a certain stimulus is controlled by the internal structure of the communication system rather than by the probability of experiencing it in the `outside' world, which makes it specially suitable for the speech of schizophrenics. Second, the exponent alpha predicted for the frequency versus rank distribution is in a range where alpha > 1, which may explain that of some schizophrenics and some children, with alpha=1.5-1.6. Among the many models for Zipf's law, none explains Zipf's law for that particular range of exponents. In particular, two simplistic models fail to explain that particular range of exponents: intermittent silence and Simon's model. We support that Zipf's law in a communication system may maximize the information transfer under constraints.