Spatio-temporal Feature Based Emotional Contagion Analysis and Prediction Model for Online Social Networks

被引:0
|
作者
基于时空特征的社交网络情绪传播分析与预测模型
机构
[1] Xiong, Xi
[2] Qiao, Shao-Jie
[3] Wu, Tao
[4] Wu, Yue
[5] Han, Nan
[6] Zhang, Hai-Qing
来源
Qiao, Shao-Jie (sjqiao@cuit.edu.cn) | 2018年 / Science Press卷 / 44期
关键词
Manuscript received August 31; 2017; accepted Janaury 1; 2018; 国家自然科学基金; (61772091; 61802035); 教育部人文社会科学研究青年基金; (17YJCZH202); 四川省科技计划项目; (2018GZ0253; 2018JY0448); 成都; 信息工程大学科研基金; (KYTZ201637; KYTZ201715; KYTZ201750); 成; 都市软科学研究项目; (2017-RK00-00125-ZF; 2017-RK00-00053-ZF); 都信息工程大学中青年学术带头人科研基金; (J201701); 四川高校科研创新团队; 建设计划; (18TD0027); 广西自然科学基金项目; (2018GXNSFDA138005); 广东省重点实验室项目 (2017B030314073) 资助 Supported by National Natural Science Foundation of China (61772091; Youth Foundation for Humanities and Social Sciences of Ministry of Education of China (17YJCZH202); Sichuan Science and Technology Program (2018GZ0253; Scientific Research Foundation for Advanced Talents of Chengdu University of Information Technology (KYTZ201637; Soft Science Foundation of Chengdu (2017-RK00-00125-ZF; Scientific Research Foundation for Young Academic Leaders of Chengdu University of Information Technology (J201701); Innovative Research Team Construction Plan in Universities of Sichuan Province (18TD0027); Natural Science Foundation of Guangxi (2018GXNSFDA138005) and Guangdong Key Laboratory Project (2017B030314073) 本文责任编委 赵铁军 Recommended by Associate Editor ZHAO Tie-Jun 1. 成都信息工程大学网络空间安全学院 成都 610225 2. 重庆邮电大学网络 空间安全与信息法学院 重庆 400065 3. 西华大学计算机与软件工程学院 成都 610039 4. 成都信息工程大学管理学院 成都 610103 5. 成都信息工程大 学软件工程学院 成都 610225 1. School of Cybersecurity; Chengdu University of Information Technology; Chengdu 610225 2. School of Cyber Security and Information Law; Chongqing University of Posts and Telecommunications; Chongqing 400065 3. School of Computer and Software Engineering; Xihua University; Chengdu 610039 4. School of Management; Chengdu 610103 5. School of Software Engineering; Chengdu; 610225;
D O I
10.16383/j.aas.2018.c170480
中图分类号
学科分类号
摘要
27
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