Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Hengmin Zhu"'
Publikováno v:
Complexity, Vol 2023 (2023)
The reach of online information transmission has expanded due to the rapid growth of social software and Internet technology, and the negative information generated during the COVID-19 outbreak can confuse the public. Therefore, a new challenge in th
Externí odkaz:
https://doaj.org/article/9c7bca8ce7f5483da4c6f2389c109b28
Publikováno v:
Complexity, Vol 2022 (2022)
Before expressing opinions, most people usually consider the standpoint of their friends nearby to avoid being isolated, which may lead to the herding effect. The words of celebrities in social networks usually attract public attention and affect the
Externí odkaz:
https://doaj.org/article/d304caecd6e64dbcaa907ffb52654992
Publikováno v:
Information Sciences. 631:108-119
Publikováno v:
Big Data (2167-6461); Apr2024, Vol. 12 Issue 2, p100-109, 10p
Publikováno v:
Knowledge and Information Systems. 65:1199-1220
Publikováno v:
Scientometrics. 127:3767-3792
Analyzing topic evolution is an effective way to monitor the overview of topic spreading. Existing methods have focused either on the intensity evolution of topics along a timeline or the topic evolution path of technical literature. In this paper, w
Autor:
Zhi Jia, Ran Tang, Xiaoyu Yuan, Hengmin Zhu, Jiaqi Guo, Yutong Chen, Yonglan Yang, Bin Liang, Shuhao Lu, Derong Cao, Jie Liu
Publikováno v:
Small.
Publikováno v:
Journal of agricultural and food chemistry. 70(29)
Coat proteins (CPs) of RNA plant viruses play a pivotal role in virus particle assembly, vector transmission, host identification, RNA replication, and intracellular and intercellular movement. Numerous compounds targeting CPs have been designed, syn
Publikováno v:
Computational intelligence and neuroscience. 2022
The evolution of opinions is a complex mechanism. The evolution of individual opinions is not only influenced by own and others but also by psychological effects. Therefore, based on the classical bounded confidence model and the sleeper effect, a ne
Publikováno v:
Journal of Information Science. 48:141-151
Popularity prediction of online contents is always a tool of emergency management, business decision-making, and public opinion monitoring. Most previous work has made efforts to predict the volumes or levels of popularity, but patterns of popularity