Rolf, Konstantin (2021) A logical approach to unify and translate diffusion models in a more general framework. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Social influence has been a topic of increasing importance in the rise of social net- works like Facebook or Instagram. Especially the propagation of opinions in such networks has been topic of interest. Different opinion diffusion models tried to capture this behavior. Addi- tionally, epidemiology uses very similar models to look at the spread of diseases in epidemics. This study investigates diffusion models of different origins and combines them using a deter- ministic finite state machine (DFA). A special translation is shown that converts a weighted and biased threshold model to an undirected and unweighted threshold model. To make diffusion models more approachable, a website tool is implemented that shows the behaviors of multiple diffusion models for common types of graph typologies. The website is also capable of showing the previously mentioned model translation.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Christoff, Z.L. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 21 Jul 2021 14:55 |
| Last Modified: | 21 Jul 2021 14:55 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/25281 |
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