Investigating the Influence of Inverse Preferential Attachment on Network Development
Cynthia S Q Siew1, Michael S Vitevitch2
1Department of Psychology, National University of Singapore, Singapore 117570, Singapore.
Entropy (Basel, Switzerland)
|December 8, 2020
Summary
Phonological network growth may involve inverse preferential attachment, favoring new words similar to existing ones. Simulations show this mechanism creates dense networks, mimicking real-world phonological lexicon structures.
Area of Science:
- Cognitive Science
- Computational Linguistics
- Network Science
Background:
- The phonological lexicon's development is investigated, focusing on word similarity as network connections.
- Previous research suggests new word acquisition is influenced by phonological similarity to existing words.
Purpose of the Study:
- To simulate and analyze network growth mechanisms in the phonological lexicon.
- To examine the role of inverse preferential attachment in network development.
Main Methods:
- Generated artificial networks using preferential attachment, inverse preferential attachment, and combined mechanisms.
- Analyzed network structure, including diameter and average shortest path length.
- Examined degree distributions of the simulated networks.
Main Results:
- Networks grown with initial preferential attachment followed by inverse preferential attachment showed denser structures.
- These networks exhibited smaller diameters and average shortest path lengths.
- Degree distributions deviated from power laws, resembling real-world phonological networks.
Conclusions:
- Inverse preferential attachment may contribute to the development of the phonological lexicon.
- This mechanism could reflect processing costs in mature lexical structures.
Keywords:
inverse preferential attachmentlanguage developmentlanguage networksnetwork growthpreferential attachmentMore Related Videos
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