Name
Abstract | ||
|---|---|---|
Online social networks provide a platform to diffuse information and influence people's opinion. Conventional models for information diffusion do not take into account the specifics of each users’ personality, behavior, and their opinion. This work adopts the “Big Five” model from the social sciences to ascribe each user node with a personality. We propose a behavioral independent cascade (BIC) mo... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNSE.2020.3034094 | IEEE Transactions on Network Science and Engineering |
Keywords | DocType | Volume |
Adaptation models,Social networking (online),Computational modeling,Taxonomy,Diffusion processes,Integrated circuit modeling,Social sciences | Journal | 8 |
Issue | ISSN | Citations |
2 | 2327-4697 | 1 |
PageRank | References | Authors |
0.35 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nathaniel Hudson | 1 | 39 | 3.76 |
| Hana Khamfroush | 2 | 75 | 11.84 |