Name
Title | ||
|---|---|---|
An influence maximization method based on crowd emotion under an emotion-based attribute social network |
Abstract | ||
|---|---|---|
Most research on influence maximization focuses on the network structure features of the diffusion process but lacks the consideration of multi-dimensional characteristics. This paper proposes the attributed influence maximization based on the crowd emotion, aiming to apply the user’s emotion and group features to study the influence of multi-dimensional characteristics on information propagation. To measure the interaction effects of individual emotions, we define the user emotion power and the cluster credibility, and propose a potential influence user discovery algorithm based on the emotion aggregation mechanism to locate seed candidate sets. A two-factor information propagation model is then introduced, which considers the complexity of real networks. Experiments on real-world datasets demonstrate the effectiveness of the proposed algorithm. The results outperform the heuristic methods and are almost consistent with the greedy methods yet with improved time performance. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ipm.2021.102818 | Information Processing & Management |
Keywords | DocType | Volume |
Crowd emotion,Cluster credibility,Two-factor,Emotion aggregation,Influence maximization,Social networks | Journal | 59 |
Issue | ISSN | Citations |
2 | 0306-4573 | 1 |
PageRank | References | Authors |
0.35 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weimin Li | 1 | 63 | 25.40 |
| Yaqiong Li | 2 | 1 | 0.35 |
| Wei Liu | 3 | 11 | 4.26 |
| Can Wang | 4 | 202 | 17.59 |