Human Behaviour and the Principle of Least Effort: an Introduction to Human Ecology

By G. Zipf. 2012

810 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/08d4da77c489d550c3e215725551481310719893

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Citations in the corpus

Language Is a Complex Adaptive System: Position Paper (2009, background): “For instance, language may change in the tug-of-war of conflicting interests between speakers and listeners: Speakers prefer production economy, which encourages brevity and phonological reduction, whereas listeners want perceptual salience, explicitness, and clarity, which require elaboration (Chri”
Patterns in syntactic dependency networks. (2004, background): “General statistical regularities that human language obeys at different scales are known [ 2–5 ] .”
Unravelling daily human mobility motifs (2013, background): “Such modeling approaches assume that each individual human tries to minimize his/her effort depending on socioeconomic characteristics [15].”
The New C Standard (Excerpted material) An Economic and Cultural Commentary (2008, neutral): “What has become known as Zipf’s law[354] states a relationship between the rank and frequency of occurrence of some construct or behavior.”
The Dynamics of Second Language Emergence: Cycles of Language Use, Language Change, and Language Acquisition (2008, background): “Zipf (1949) summarized this in the principle of least effort—speakers want to minimize articulatory effort and hence encourage brevity and phonological reduction.”
Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter (2011, methodology): “For each corpus, we compiled word lists ordered by decreasing frequency of occurrence f , which is well known to follow a power-law decay as a function of word rank r for natural texts [50].”
Twevent: segment-based event detection from tweets (2012, background): “of least effort [26], people used to communicate information with the least context, especially in the situation where a short message with free style is allowed.”
A survey of online failure prediction methods (2010, background): “According to the paper, relative error generation frequencies of subsystems follow a Pareto distribution: Most errors are generated by only a few subsystems while most subsystems generate only very few errors (which is also known as Zipf’s law [Zipf 1949]).”
Maps of random walks on complex networks reveal community structure (2007, background): “by assigning short codewords to common events or objects and long codewords to rare ones, much as common words are short in spoken languages (19).”