Opinion Dynamics in the Presence of Bots

dc.contributor.authorSahasrabudhe, Neeraja
dc.date.accessioned2023-08-23T17:47:32Z
dc.date.available2023-08-23T17:47:32Z
dc.date.issued2022
dc.descriptionOnly IISER Mohali authors are available in the record.en_US
dc.description.abstractWe 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.identifier.citationSPCOM 2022 - IEEE International Conference on Signal Processing and Communications, 9840793.en_US
dc.identifier.urihttps://doi.org/10.1109/SPCOM55316.2022.9840793
dc.identifier.urihttp://hdl.handle.net/123456789/5117
dc.language.isoen_USen_US
dc.publisherIEEE Xploreen_US
dc.subjectOpinion Dynamicsen_US
dc.subjectVoter modelen_US
dc.titleOpinion Dynamics in the Presence of Botsen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Need To Add…Full Text_PDF.
Size:
15.36 KB
Format:
Unknown data format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: