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20122023
most citedA network approach to topic models

260 citations · 976 across the 18 of their papers we have counts for

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Showing physics.soc-phShow all

7 papers · 1 filter

physics.soc-ph2016★ 24 cited

Generalized Entropies and the Similarity of Texts

Eduardo G. Altmann, Laercio Dias, Martin Gerlach

We show how generalized Gibbs-Shannon entropies can provide new insights on the statistical properties of texts. The universal distribution of word frequencies (Zipf's law) implies…

physics.soc-ph2016★ 122 cited

Is this scaling nonlinear?

J. C. Leitao, J. M. Miotto, M. Gerlach +1

One of the most celebrated findings in complex systems in the last decade is that different indexes y (e.g., patents) scale nonlinearly with the population~x of the cities in which…

physics.soc-ph2015★ 43 cited

Similarity of symbol frequency distributions with heavy tails

Martin Gerlach, Francesc Font-Clos, Eduardo G. Altmann

Quantifying the similarity between symbolic sequences is a traditional problem in Information Theory which requires comparing the frequencies of symbols in different sequences. In…

physics.soc-ph2015★ 78 cited

Statistical laws in linguistics

Eduardo G. Altmann, Martin Gerlach

Zipf's law is just one out of many universal laws proposed to describe statistical regularities in language. Here we review and critically discuss how these laws can be statistical…

physics.soc-ph2014★ 36 cited

Extracting information from S-curves of language change

Fakhteh Ghanbarnejad, Martin Gerlach, Jose M. Miotto +1

It is well accepted that adoption of innovations are described by S-curves (slow start, accelerating period, and slow end). In this paper, we analyze how much information on the dy…

physics.soc-ph2014★ 77 cited

Scaling laws and fluctuations in the statistics of word frequencies

Martin Gerlach, Eduardo G. Altmann

In this paper we combine statistical analysis of large text databases and simple stochastic models to explain the appearance of scaling laws in the statistics of word frequencies.…

physics.soc-ph2012★ 155 cited

Stochastic model for the vocabulary growth in natural languages

Martin Gerlach, Eduardo G. Altmann

We propose a stochastic model for the number of different words in a given database which incorporates the dependence on the database size and historical changes. The main feature…