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Keke Shang

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About Me

I did a PhD in complex networks at Northwestern Polytechnical University while studying as a visiting student at The University of Western Australia. I have publised 9 papers as the first author in high-quality physical journals. My research interests are in Complex Systems, Complex Network, Link Prediction and Computational Modelling. I also have reviewed more than 60 papers and projects for international journals, conferences and the National Natural Science Foundation of China. My h index is 8, and i10 index is 6.

I am currently an associate professor in the Computational Communication Collaboratory of Nanjing University. I hold the associate secretary-general in the Computational Communication Research Association of the Chinese Association for Journalism and Mass Communication, the teaching secretary in the Communication Department of the Nanjing University and the master supervisor in Chongqing University of Posts and Telecommunications.

本人2017年12月博士毕业于西北工业大学兵器科学与技术专业,2018年4月至今在南京大学任教,以第一作者在国际经典物理期刊发表SCI论文9篇,主持国家自然科学基金青年项目1项、计算传播学研究委员会社科类项目1项,参与国家、省部级自科类项目10余项、省部级社科类项目2项。2015年2月至2017年2月在西澳大利亚大学进行博士联合培养,期间激发了广泛的科研兴趣,主要从事信息、计算机、数学、统计物理和社会学的交叉研究,研究方向有链路预测、零模型、在线社交网络和网络信息传播等。为7本SCI期刊的审稿人,网络科学领域10本SCI期刊的审稿人,重庆邮电大学计算机科学与技术学院外聘硕士生导师,国家自然科学基金通讯评审人,中国新闻史学会计算传播学研究委员会首任副秘书长(2018.10 -2020.10), 我的谷歌h指数为8,i10指数为6。

Email: kekeshang@nju.edu.cn

Physica A: Statistical Mechanics and its Applications  2017 Outstanding reviewer
New Journal of Physics reviewer
Chaos: An Interdisciplinary Journal of Nonlinear Science  reviewer
EPL(Europhysics Letters)  reviewer
IJMPC(INTERNATIONAL JOURNAL OF MODERN PHYSICS C)  reviewer
IEEE ACCESS  reviewer
CCPE(Concurrency and Computation: Practice and Experience)  reviewer
JPhys Complexity(Journal of Physics: Complexity) reviewer
Scientific Reports  reviewer
IJMPB(INTERNATIONAL JOURNAL OF MODERN PHYSICS b)  reviewer

Publications

1,Ke-ke Shang*, et al. “Growing networks with communities: A distributive link model.” Chaos: An Interdisciplinary Journal of Nonlinear Science 30(2020): 041101. SCI检索

2, Ke-ke Shang*, et al. “ A novel metric for community detection.” EPL (Europhysics Letters), 129(2020): 68002. SCI检索

3, Ke-ke Shang*, et al. “ The key to the weak-ties phenomenon.” EPL (Europhysics Letters), 127(2019): 48002. SCI检索 检索号 WOS:000487119200001

4, Ke-ke Shang*, et al. “Link prediction for tree-like networks.” Chaos: An Interdisciplinary Journal of Nonlinear Science 29.6 (2019): 061103. SCI检索 检索号 WOS:000475984700033

论文Link prediction for tree-like networks被美国物理联合会官网、美国科学促进会旗下期刊、南京大学新闻网等国内外10余家主流学术网站广泛报道。
''Link prediction for tree-like networks'' has been reported by AIP, AAAS, NJU and so on.

5, Ke-ke Shang, Michael Small, Xiao-Ke Xu, and Wei-sheng Yan. “The role of direct links for link prediction in evolving networks.” EPL (Europhysics Letters), 117 (2017) 28002. SCI检索 检索号 WOS:000397026400021

6, Ke-ke Shang*, Michael Small, and Wei-sheng Yan. “Fitness networks for real world systems via modified preferential attachment.” Physica A: Statistical Mechanics and its Applications, 474 (2017): 49-60. SCI检索 检索号 WOS:000397371400006

7, Ke-ke Shang*, Michael Small and Wei-sheng Yan. “Link direction for link prediction.” Physica A: Statistical Mechanics and its Applications 469 (2017) 767–776.
SCI检索 检索号 WOS:000392793500073

8, Ke-ke Shang, Wei-sheng Yan, and Michael Small*. “Evolving networks—Using past structure to predict the future.” Physica A: Statistical Mechanics and its Applications 455 (2016): 120-135. SCI检索 检索号 WOS:000375512400012

9, Ke-Ke Shang, Wei-Sheng Yan, and Xiao-Ke Xu*. “Limitation of degree information for analyzing the interaction evolution in online social networks.” International Journal of Modern Physics C 25.10 (2014): 1450056.
SCI检索 检索号 WOS:000342160700012

10, Wen-kuo Cui, Ke-ke Shang, Yong-jian Zhang, Jing Xiao, Xiao-ke Xu*. “Constructing null networks for community detection in complex networks.” European Physical Journal B, 2018, 91(7): 145.
SCI检索 检索号 WOS:000437754400001

11, Jin-long Huang, Ru Xu, Dong-dong Cheng, Su-lan Zhang, & Ke-ke Shang. (2019). A Novel Hybrid Clustering Algorithm Based on Minimum Spanning Tree of Natural Core Points. IEEE Access, 7, 43707-43720. SCI检索 检索号 WOS:000465633500001

12, 尚可可, 许小可. 基于置乱算法的复杂网络零模型构造及其应用 [J]. 电子科技大学学报, 2014, 43(1): 7-20. EI检索 

13,许小可,崔文阔,崔丽艳,肖婧,尚可可. 无权网络零模型的构造及应用 [J]. 电子科技大学学报, 2019, 48(1): 122-141. EI检索

14, 姚尊强, 尚可可, 许小可. 加权网络的常用统计量 [J]. 上海理工大学学报, 2012, 34(1): 18-26. 中文核心

Projects

2019.01–2021.12 国家自然科学基金青年项目:“基于链路预测和零模型的演化网络结构分析”(61803047)(主持人)

Analysis of evolving network structure based on link prediction and null models National Natural Science Foundation of China 61803047

2019.01-2019.12 腾讯-南京大学-中国新闻史学会计算传播学研究委员会互联网传播学项目:“演化社交网络上的传播路径预测”(主持人)


More information in Chinese

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