Share Email Print
cover

Proceedings Paper

A tricolor monitoring system of net loan based on Weibo visualization
Author(s): Yonghong Yang; Ruijun Zhang; Caiyan Lin; Yuan Chen; Shiqi Sun; Shangyang Yu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Because of being misguided by the viral spreading of illegal net loan information, it is actually easy for college students to fall into the trap of net loan. According to this phenomenon the analysis of Weibo net loan information dissemination, a two-dimensional tricolor monitoring system of net loan based on Weibo visualization is put forward, which can find, warn and cut off the illegal net loan information. With visualization tools analyzing the features of risk net loan information, a spread map of net loan can be illustrated. In this system, a two-dimensional calculation model made up of information spread degree and risk degree is constructed based on graph theory. A risk warning matrix with 3 colors (red, yellow, green) is also set up. The results indicates that this system can effectively early warn those information sources of risk net loans, and help relevant functional departments cut off the dissemination approaches of risk net loan information in time.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108066R (9 August 2018); doi: 10.1117/12.2502988
Show Author Affiliations
Yonghong Yang, Wuhan Univ. of Science and Technology (China)
Ruijun Zhang, Wuhan Univ. of Science and Technology (China)
Caiyan Lin, Wuhan Univ. of Science and Technology (China)
Yuan Chen, Wuhan Univ. of Science and Technology (China)
Shiqi Sun, Wuhan Univ. of Science and Technology (China)
Shangyang Yu, Wuhan Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

© SPIE. Terms of Use
Back to Top