Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Yubao Wu"'
Autor:
Yubao Wu1
Publikováno v:
Journal of Commercial Biotechnology. 2023, Vol. 28 Issue 6, p289-300. 12p.
Publikováno v:
The British Journal of Criminology. 62:1518-1536
In the face of market uncertainty, illicit actors on the darkweb mitigate risk by displacing their operations across digital marketplaces. In this study, we reconstruct market networks created by vendor displacement to examine how digital marketplace
Autor:
Fengpan Zhao, Pavel Skums, Yan Huang, Eric L. Sevigny, Alexander Zelikovsky, Yubao Wu, Monica H. Swahn, Sheryl Strasser
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19:180-191
The opioid abuse epidemic represents a major public health threat to global populations. The role social media may play in facilitating illicit drug trade is largely unknown due to limited research. However, it is known that social media use among ad
Publikováno v:
Optical Engineering. 61
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Publikováno v:
2021 International Conference on Data Mining Workshops (ICDMW).
Publikováno v:
ICCCN
With online social networks (OSNs), people are exposed to tons of fake information or misleading posts. Celebrities sometimes intentionally create misleading posts in OSNs to guide people for commercial or marketing purposes. The intentional phrases
Autor:
Yubao Wu
Publikováno v:
2021 5th International Conference on Trends in Electronics and Informatics (ICOEI).
With the advent and popularization of computers, network technology, digital technology and smart phones since the 20th century. Electronic data plays an increasingly important role in judicial proof activities all over the world. So far, a new propo
Publikováno v:
World Wide Web. 23:799-830
In many real life network-based applications such as social relation analysis, Web analysis, collaborative network, road network and bioinformatics, the discovery of components with high connectivity is an important problem. In particular, k-edge con
Publikováno v:
IEEE Transactions on Computational Social Systems. 6:702-714
In social networks, several influential individuals can promote an idea or a product to numerous individuals. Thus, it is valuable to solve the influence maximization (IM) problem, which asks for finding the most influential set of individuals in a s