Growing Networks – Modelling the Growth of Word Association Networks for Hungarian and English
Bibliographic Data
| ID | 21713966 |
|---|---|
| Authors | László Kovács (0000-0003-0641-811X, Eötvös Loránd University), Katalin Orosz (Eötvös Loránd University), Péter Pollner (0000-0003-0464-4893, Eötvös Loránd University) |
| Year | 2021 |
| Issue | 45 |
| Pages | 67-82 |
| Publication date | 2021-12-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Investigationes Linguisticae (JOURNAL) |
| Journal identifiers | ISSN: 1426-188X • E-ISSN: 1733-1757 |
| Publisher | Adam Mickiewicz University Poznan (PUBLISHER) |
| DOI | 10.14746/il.2021.45.5 |
| OpenAlex | W4288497669 |
| Language | EN |
| References cited | 7 |
In the new era of information and communication technology, the representation of information is of increasing importance. Knowing how words are connected to each other in the mind and what processes facilitate the creation of connections could result in better optimized applications, e.g. in computer aided education or in search engines. This paper models the growth process of a word association database with an algorithm. We present the network structure of word associations for an agglutinative language and compare it with the network of English word associations. Using the real-world data so obtained, we create a model that reproduces the main features of the observed growth process and show the evolution of the network. The model describes the growth of the word association data as a mixture of a topic based process and a random process. The model makes it possible to gain insight into the overall processes which are responsible for creating an interconnected mental lexicon
Agglutinative language · Lexicon · Linguistics · Mental lexicon · Natural language processing · Word Association · Computer Science · Psychology · Topic Modeling · Artificial Intelligence
Dynamical Processes on Complex Networks
Cognitive Network Science
Uncovering the overlapping community structure of complex networks in nature and society
The Large‐Scale Structure of Semantic Networks
Regular morphology and the lexicon
Emergence of Scaling in Random Networks
An approach to the problem of meaning
| Citation velocity | historical |
|---|---|
| Highly cited | No |