Xinbing Wang
Biographic Data
| ID | 8825871 |
|---|---|
| NAME | Xinbing Wang |
| GIVEN NAMES | Xinbing |
| FAMILY NAME | Wang |
| SIGNATURE | WANG X |
| AFFILIATIONS | Shanghai Jiao Tong University |
| ORCID | 0000-0002-0357-8356 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Identifying Information Initiators in Mobile Social Networks
The widespread adoption of mobile social networks (MSNs) has profoundly reshaped how people access and disseminate information. However, the same platforms also facilitate the rapid spread of misinformation—such as rumors, fake news, and fraudulent messages—which can lead to severe social, economic, and psychological consequences. Identifying the original initiators of such information cascades, referred to as the multiple source detection (MSD) …
Community Deception in Large Networks
Many complex networks in the real world have community structures. Typical examples include online social networks and ecology networks. While the identification of communities bears numerous practical applications, with the increasing awareness of data security and privacy concerns, the need to protect the community affiliations of individuals from disclosing by attackers emerges. This raises the community deception (CD) problem, that is, the op…
No prominent works on this page.
Community Deception in Large Networks
Many complex networks in the real world have community structures. Typical examples include online social networks and ecology networks. While the identification of communities bears numerous practical applications, with the increasing awareness of data security and privacy concerns, the need to protect the community affiliations of individuals from disclosing by attackers emerges. This raises the community deception (CD) problem, that is, the op…
Identifying Information Initiators in Mobile Social Networks
The widespread adoption of mobile social networks (MSNs) has profoundly reshaped how people access and disseminate information. However, the same platforms also facilitate the rapid spread of misinformation—such as rumors, fake news, and fraudulent messages—which can lead to severe social, economic, and psychological consequences. Identifying the original initiators of such information cascades, referred to as the multiple source detection (MSD) …
Complex Network Analysis Techniques (2 works) · Advanced Graph Neural Networks (1 work) · Arithmetic (1 work) · Computer Science (1 work) · Computer security (1 work) · Deception (1 work) · Dissemination (1 work) · Information Dissemination (1 work) · Internet Traffic Analysis and Secure E-voting (1 work) · Mathematics (1 work)