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Simon model

In applied probability theory, the Simon model is a class of stochastic models that results in a power-law distribution function. It was proposed by Herbert A. Simon to account for the wide range of empirical distributions following a power-law. It models the dynamics of a system of elements with associated counters (e.g., words and their frequencies in…

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Properties

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Simon model

Nodes16
Edges15
Triples20
Avg. degree1.88
Density0.125
Components1

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Simon model

Top relations

related to Properties · 14
Simon model → BA, Barabási-Albert, Bornholdt, Ebel, For, In, Pareto, Simon, Simon's, The, The Simon, Thus, World Wide Web, Zipf's
is a · 1
Simon model → class of stochastic models that results in a power-law distribution function

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Important terminology

model displaystyle simon power-law network alpha probability nodes growth models dynamics words node gamma class stochastic connectivity new system elements

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Simon modelis aclass of stochastic models that results in a power-law distribution function0.90text
the average path lengthinstance ofThus network measures going beyond the degree distribution0.80text
spectral propertiesinstance ofThus network measures going beyond the degree distribution0.80text
and clustering coefficientinstance ofThus network measures going beyond the degree distribution0.80text
cannot be obtained from this mapping.The Simon model is related to generalized scale-free models with growthinstance ofThus network measures going beyond the degree distribution0.80text
preferential attachment propertiesinstance ofThus network measures going beyond the degree distribution0.80text
Simon modelrelated to PropertiesBarabási-Albert0.60section
Simon modelrelated to PropertiesBA0.60section
Simon modelrelated to PropertiesSimon's0.60section
Simon modelrelated to PropertiesIn0.60section
Simon modelrelated to PropertiesSimon0.60section
Simon modelrelated to PropertiesPareto0.60section

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    Min side: 3
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