Tan, Jirmaine (2023) An Exploration of Threshold Model Updates. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Threshold models are used to study how information, behaviours, new technologies, fashions, viruses, etc. diffuse through a social network. These models visualise diffusion through networks; a collection of nodes (vertices) and edges that connect nodes together. A threshold value is assigned to each node. An agent will adopt a behaviour/technology/fashion when the proportion of their neighbours who also have this behaviour meets the threshold. We define threshold models as a Social Networks Model for discussing properties of structural/distancebased social selection and threshold based social influence. We then introduce extended models for similarity-based social selection as well as social abandonment of behaviours for both selection and influence. This paper studies the properties and states of the social networks that these updates create. We first explore properties of the updates using the theoretical framework. We then build a simulation to explore the extended updates empirically.
| Item Type: | Thesis (Bachelor's Thesis) |
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| Supervisor name: | Baccini, E. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 16 May 2023 13:37 |
| Last Modified: | 21 Jun 2023 11:40 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/29499 |
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