Clicks: 168    Date: 2020-04-01 08:43:20

Title: Study on Disintegration of Complex Networks with Incomplete Information based on Link Prediction

Funding agency: Natural Science Foundation of Hunan Province

Grant reference: 2019JJ20019

Total funding: CNY 500,000

Period: Jan 2019-Dec 2021

PI: Jun Wu

Abstract: The applicant has been engaged in the study of complex network theory and its application to management for a long period and has made outstanding academic achi evements in the field of invulnerability for complex networks. The applicant has p ublished 25 SCI indexed articles as the first author or corresponding author (15 J CR Q1 articles). The published articles are cited 1200 times in Google, 1300 times in CNKI and 300 times in Web of Science. There are more than 15,000 records on th e symbolized achievements such as “entropy of rank distribution” and “natural c onnectivity” in Google. Aiming at the problem of incomplete information in network disintegration, this project creatively introduces the new idea of link predict ion and try to recover partial missing information based on link prediction, which may improve the effect of network disintegration. This project will provide a new approach to solve the problem of network disintegration with incomplete information, such as the counterterrorism, disease immunity, military confrontation and so on. Moreover, it will provide an important reference for the application of link p rediction in other fields.