Uni Göttingen
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Institute of Computer Science
Georg-August-Universität Göttingen
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 Home / People / Huang, Hong

Dr. Hong Huang

Position:   Research Associate
Phone:   +49 551 39-172057
Fax:   +49 551 39-14416
Office:   3.111
Email:   hong.huang a informatik.uni-goettingen.de

Georg-August-Universität Göttingen
Institut für Informatik
Computer Networks Group
Goldschmidtstr. 7
37077 Göttingen

Hong Huang received her BSEE degree from Nanjing University of Posts and Telecommunications in 2009 and master degree in electronic engineering from Tsinghua University in 2012. She joined NET group as a PhD student in fall 2012 and completed her dissertation with summa cum laude in September 2016. Currently she is leading a team working on online social networks and big data analytics, including social influence, social structure analysis and data mining.

Research Projects


Disclaimer: These papers are made available as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Understanding Urban Mobility from Public Transportation Perspective Using Smart-Card Data: The Case of Shanghai, Hong Huang, Shichang Ding, Taoxiong Liu, Xu Wang, Xiaoming Fu, INSNA Sunbelt 2017, Beijing, China, June 2017.

The Life Cycle of One Triad: An Alternative Perspective from Weibo, Hong Huang, Lu Zheng, Xiaoming Fu, INSNA Sunbelt 2017, Beijing, China, June 2017.

Which Role Does the Social Network of Expatriates Play in their Career Development?, Fabian Froese, Xiaoming Fu, Samuel Davies, Hong Huang, Zhenxuan Wang, Proceedings of 42nd Annual Conference of European International Business Academy, Vienna, Austria, December 2016.

Analysis and Prediction of Triadic Closure in Online Social Networks, Hong Huang, Jie Tang, Lu Liu, Jar-Der Luo, Xiaoming Fu, in: X. Fu, J.-D. Luo, M. Boos (eds.), Social Network Analysis: Interdisciplinary Approaches and Case, Chapter 5, CRC Press, Taylor & Francis Group, ISBN 1498736645, October 2016.

Triadic Closure Pattern Analysis and Prediction in Social Networks, Hong Huang, Jie Tang, Lu Liu, Jarder Luo, Xiaoming Fu, IEEE Transactions on Knowledge and Data Engineering, 27(12): 3374-3389, DOI: 10.1109/TKDE.2015.2453956, IEEE, December 2015.
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Mining Triadic Closure Patterns in Social Networks (extended abstract), Hong Huang, Jie Tang, Jarder Luo, Sen Wu, Lu Liu, Xiaoming Fu, Interdisziplinäre Tagung - Dynamiken räumlicher Beziehungen - Theorien und Anwendungen geographischer und soziologischer Netzwerkforschung, Darmstadt, Germany, June 2014.

Mining Triadic Closure Patterns in Social Networks, Hong Huang, Jie Tang, Sen Wu, Lu Liu, Xiaoming Fu, 23rd International World Wide Web Conference (WWW 2014), Web Science Track, Seoul, Korea, ACM, April 2014.
Read abstract PDF [559.8 kB]