Intermittency and scale-free networks: a dynamical model for human language complexity

By Paolo Allegrini, Paolo Grigolini, Luigi Palatella. 2003

48 citations recorded by the source corpus.

Article discussing intermittency, scale-free networks, and a dynamical model for human language complexity.

Subfields: Artificial Intelligence, Economics and Econometrics, Molecular Biology, Linguistics, Network Science & Complex Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Giampaolo Cristadoro
2. Eduardo G. Altmann
3. Mirko Degli Esposti

In Economics and Econometrics

1. Giampaolo Cristadoro
2. Eduardo G. Altmann
3. Mirko Degli Esposti

In Molecular Biology

1. Giampaolo Cristadoro
2. Eduardo G. Altmann
3. Mirko Degli Esposti

In Linguistics

1. Giampaolo Cristadoro
2. Eduardo G. Altmann
3. Mirko Degli Esposti

In Network Science & Complex Systems

1. Giampaolo Cristadoro
2. Eduardo G. Altmann
3. Mirko Degli Esposti

Citations in the corpus

• On the origin of long-range correlations in texts (2012, methodology): “…to particular choices of f ) were used, from the Huffmann code [25], to attributing to each symbol an arbitrary binary sequence (ASCII, unicode, 6-bit tables, dividing letters in groups, etc.) [1, 16, 20, 26, 27], to the use of the frequency-rank [7] or parts of speech [19] on the level of words.”