赵晓晖

职  称：副教授

邮  箱：zhaoxh_sdnu@163.com

研究方向：社交网络分析

个人简介

赵晓晖，女，2005年在伟德国际1946源自英国任教，2019年获博士学位。参与编著教材2本，发表期刊论文5，会议论文2余篇。

开设课程

面向对象的程序设计语言；数学软件；计算机网络；计算机图形学；数据挖掘；数据科学的编程基础

代表性成果

1. Zhao X, Liu F, Xing S, Wang Q. Identifying Influential Spreaders in Social Networks via Normalized Local Structure Attributes[J]. IEEE Access, 2018, 6:

66095-66104. DOI: 10.1109/ACCESS.2018.2879116.

2. Zhao X, Liu F, Xing S, Wang Q. TSSCM: A synergism-based three-step cascade model for influence maximization on large-scale social networks[J]. PLOS ONE, 2019, 14(9): e0221271. (DOI: 10.1371/journal. pone. 0221271.

3. Xiaohui Zhao, Fang’ai Liu , Jinlong Wang and Tianlai Li ,Evaluating Influential Nodes in Social Networks by Local Centrality with a Coefficient, ISPRS Int. J. Geo-Inf. 2017, 6(2),35:1-11.

4. Xiaohui Zhao, Fang’ai Liu , Yongxin Zhang, Jiwei Wang. Computing Unbalanced Degree of Signed Networks Based on Culture Algorithm CCBD2015 IEEECPS

5. 李萍，赵庆祯，赵晓晖. 复杂网络中具有低易感的疾病传播问题研究，四川大学学报(工程科学版)