Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/5117Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sahasrabudhe, Neeraja | - |
| dc.date.accessioned | 2023-08-23T17:47:32Z | - |
| dc.date.available | 2023-08-23T17:47:32Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | SPCOM 2022 - IEEE International Conference on Signal Processing and Communications, 9840793. | en_US |
| dc.identifier.uri | https://doi.org/10.1109/SPCOM55316.2022.9840793 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/5117 | - |
| dc.description | Only IISER Mohali authors are available in the record. | en_US |
| dc.description.abstract | We propose a variant of the voter model which captures salient features of opinion dynamics in a network consisting of individuals and bots. Key features of our model are that the influence of bots on the opinion evolution can be different from the influence of individuals in the network and that the opinion of bots does not evolve over time irrespective of the opinion of the rest of the network. We use the proposed model and tools from the theory of stochastic approximation and martingales to develop a method to accurately characterize the number of bots needed to achieve specific opinion-shaping targets as a function of various system parameters in a fully connected network. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE Xplore | en_US |
| dc.subject | Opinion Dynamics | en_US |
| dc.subject | Voter model | en_US |
| dc.title | Opinion Dynamics in the Presence of Bots | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Research Articles | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Need To Add…Full Text_PDF. | 15.36 kB | Unknown | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.