The small world of human language

By R. Ferrer i Cancho, R. V. Solé. Proceedings of the Royal Society of London. Series B: Biological Sciences, 2001

1,060 citations recorded by the source corpus.

Subfields: Cultural Studies, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/a0b95a91e01c7d1d89221b0564c837040f3e6092

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Citations in the corpus

The Dynamics of Second Language Emergence: Cycles of Language Use, Language Change, and Language Acquisition (2008, methodology): “…growth, they are the high degree nodes of the kernel lexicon of the language network to which new subunit constructions are preferentially attached, allowing scale-free growth distribution according to the so-called Barbarási-Albert model (Barbarási & Albert, 1999; Ferrer i Cancho & Solé, 2001).”
Graph Embedding Techniques, Applications, and Performance: A Survey (2017, background): “networks) have been used to denote information in various areas including biology (Protein-Protein interaction networks) [1], social sciences (friendship networks) [2] and linguistics (word co-occurrence networks) [3].”
What Do Networks Have to Do with Climate (2006, background): “1999), and distributions consisting of two power laws separated by a cutoff value of k (Dorogovtsev and Mendes 2001; Ferrer and Sole 2001).”
The architecture of the climate network (2004, background): “It includes truncated power-law distributions [15], gaussian distributions [16], power-law distributions (corresponding to scale-free networks) [17], and distributions consisting of two power-laws separated by a cuto4 value of d [18,19].”
Towards the Quantification of the Semantic Information Encoded in Written Language (2009, background): “In recent years the use of tools drawn from statistical physics has quantitatively revealed rich linguistic structures at many scales, ranging from the domain of syntax to the organisation of whole lexicons and literary corpora [5, 4, 6, 9, 10, 16, 24, 25].”
Statistical Measures for Usage‐Based Linguistics (2015, background): “Subsequent research has shown that many language events (e.g., frequencies of phoneme and letter strings, of words, of grammatical constructs, of formulaic phrases, etc.) across scales of analysis follow this law (Ferrer i Cancho & Solé, 2001, 2003).”
Embedding Networks with Edge Attributes (2018, background): “Other types of network include author collaboration network [8], router network [3] and language networks [14].”
Measuring L2 Lexical Growth Using Hypernymic Relationships (2009, background): “These clusters connect to other clusters and other words, until entire lexicons are developed based on interconnections (Ferrer i Cancho & Solé, 2001; Ferrer i Cancho, Solé, & Köhler, 2004; Haastrup & Henriksen).”
Graph-of-word and TW-IDF: new approach to ad hoc IR (2013, neutral): “There exist several categories of methods, in particular vector space model (TFIDF [30]), probabilistic (BM25 [25]) and language modeling (Dirichlet prior [33]) approaches and the divergence from randomness framework (PL2 [1]).”