Xiaopeng Yao
Biographic Data
| ID | 10054338 |
|---|---|
| NAME | Xiaopeng Yao |
| GIVEN NAMES | Xiaopeng |
| FAMILY NAME | Yao |
| SIGNATURE | YAO X |
| AFFILIATIONS | Shenzhen Institute of Information Technology |
| ORCID | 0000-0001-6794-0441 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Enhance Rumor Controlling Algorithms Based on Boosting and Blocking Users in Social Networks
It is undeniable that rumors abound on online social networks and rumors can cause many disastrous consequences. Effective controlling of rumors is of great significance in social networks. However, the existing research only selects boosting users who are more likely to adopt the truth or select blocking users to terminate the spread of rumors. The former tends to correct the rumor after the spread is over but with high controlling cost, while t…
Influence Spread in Location-Based Social Network
Much work has already been studied on the interrelation between the epidemic spreading and awareness spreading to prevent infections in a social network. By selecting seed users to spread awareness, we can control epidemic spreading. However, selecting seed users with the maximum influential users may not be the best solution in location-based social networks. Therefore, it is challenging to determine users to spread the information (the awarenes…
No prominent works on this page.
Influence Spread in Location-Based Social Network
Much work has already been studied on the interrelation between the epidemic spreading and awareness spreading to prevent infections in a social network. By selecting seed users to spread awareness, we can control epidemic spreading. However, selecting seed users with the maximum influential users may not be the best solution in location-based social networks. Therefore, it is challenging to determine users to spread the information (the awarenes…
Enhance Rumor Controlling Algorithms Based on Boosting and Blocking Users in Social Networks
It is undeniable that rumors abound on online social networks and rumors can cause many disastrous consequences. Effective controlling of rumors is of great significance in social networks. However, the existing research only selects boosting users who are more likely to adopt the truth or select blocking users to terminate the spread of rumors. The former tends to correct the rumor after the spread is over but with high controlling cost, while t…
Algorithm (2 works) · Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Theoretical Computer Science (2 works) · Arithmetic (1 work) · Artificial Intelligence (1 work) · Computer network (1 work) · Gradient boosting (1 work) · Greedy algorithm (1 work) · Law (1 work)