Weijin Jiang1, 2, 3, 4, Fang Ye1, 2, *, Wei Liu2, 3, Xiaoliang Liu1, 2, Guo Liang5, Yuhui Xu2, 3, Lina Tan1, 2
CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2263-2275, 2020, DOI:10.32604/cmc.2020.010082
Abstract With the rapid development of information technology, the explosive growth
of data information has become a common challenge and opportunity. Social network
services represented by WeChat, Weibo and Twitter, drive a large amount of information
due to the continuous spread, evolution and emergence of users through these platforms.
The dynamic modeling, analysis, and network information prediction, has very important
research and application value, and plays a very important role in the discovery of
popular events, personalized information recommendation, and early warning of bad
information. For these reasons, this paper proposes an adaptive prediction algorithm for
network information transmission. A popularity… More >
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