Xian Teng



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School of Information Science

University of Pittsburgh, PA 15260

Tel: 1(347)399-2873

Email: xianteng.buaa@gmail.com







Academic Background

2016.05 - present   PhD student, supervised by Professor Yuru Lin, School of Information Science, University of Pittsburgh
2015.06 - 2016.04  Visiting Scholar, supervised by Professor Hernan Makse, Levich InstituteCity College of New York
2012.09 - 2015.01  M.S. Mathematics, supervised by Professor Zhiming Zheng, School of Mathematics and Systems Science, Beihang University
2008.09 - 2012.06  B.S. Automation Science, School of Advanced Engineering, Beihang University

Research Interests

I am interested in the structure and dynamics of networks across diverse domains, including human behaviors, social-technical networks and biological systems. With the tools from mathematics, statistical physics, data science and computer science, I work towards the understanding in many network-related interdisciplinary problems. My researches focus on the theoretical and empirical approaches in parallel with simulations.

Research Experiences


Collective Influence and Optimal Percolation


In a network, some nodes are more important than others. Although much smaller than the whole network size, their activation can cause large scale information diffusion, and meanwhile, their elimination can induce network collapse. Recently, Morone & Makse have mapped this problem of localizing the minimal set of influential nodes to optimal percolation, and proposed a novel algorithm called Collective Influence - CI algorithm[1]. Our work is to verify CI's efficiency from the perspective of real-world data analysis. We collected large scale information-diffusion data from social platforms and scientific publications, such as twitter, LiveJournal, facebook and APS journals. By reconstructing the underlying topological structures and upper spreading dynamics, we try to validate CI's effectiveness by comparing it with several other heuristic strategies, such as PageRank, adaptive High-degree, K-shell and etc.



     
Identification of Highly-susceptible Individuals in Spreading Dynamics

Identifying highly susceptible individuals in spreading processes is of great significance in controlling outbreaks. We explore the susceptibility of people in susceptible-infectious-recovered (SIR) and rumor spreading dynamics. We find the susceptibility of individuals is sensitive to the choice of spreading dynamics. For SIR spreading, since the susceptibility is highly correlated to nodes’ influence, the topological indicator k-shell can better identify highly susceptible individuals. In contrast, in rumor spreading model, where nodes’ susceptibility and influence have no clear correlation, degree performs the best among considered topological measures. Our finding highlights the significance of both topological features and spreading mechanisms in identifying highly susceptible population.






Collective Behavior & Social Wealth in Public Goods Game

We explore how investment difference would affect collective cooperation and social wealth distribution in Public Goods game within structured networks. Our consideration comes from that high-quality cooperation groups might attract more investments from rational cooperators. By means of numerical simulations and some 
analytical calculations on simplified star-like graphs, we show that the overall cooperation level and the velocity in which cooperation spreads across populations are promoted. Besides, we also discuss about social wealth diversity using typical wealth indicator such as the Gini coefficient.



       
  
             
Alpha Magnetic Spectrometer 02 Experiment (AMS-02) at European Organisation for Nuclear Research (CERN) in Geneva

The Alpha Magnetic Spectrometer (AMS-02) is a state-of-the-art particle physics detector designed to operate as an external module on the International Space Station. It will use the unique environment of space to study the universe and its origin by searching for antimatter, dark matter while performing precision measurements of cosmic rays composition and flux. One key task is to construct an analysis framework for particle discrimination (distinguish positrons against protons with relatively low deviations) using methods from computer science and statistics. We focus on this problem and develop computing algorithms for data analysis and data visualizations using a framework called TOOT developed at CERN under LINUX system



Publications

[1]. S Tang, X Teng, S Pei, S Yan, Z Zheng, Identification of highly susceptible individuals in complex networks, Physica A: Statistical Mechanics and its Applications 432, 363-372
[2]. X Teng, S Yan, S Tang, S Pei, W Li, Z Zheng, Individual Behavior and Social Wealth in the Spatial Public Goods Game, Physica A: Statistical Mechanics and its Applications 402, 141-149.
[3]. W Li, S Tang, S Pei, S Yan, S Jiang, X Teng, Z Zheng, The Rumor Diffusion Process with Emerging Independent Spreaders in Complex Networks, Physica A: Statistical Mechanics and its Applications 397, 121-128.
[4]. S Yan, S Tang, S Pei, S Jiang, W Li, X Teng, Z Zheng, Resilience to Intentional Attacks of Complex Networks, Applied Mechanics and Materials 421, 647-651.
[5]. S Jiang, S Tang, S Pei, S Yan, W Li, X Teng, Z Zheng, Multi-State Coupling Entropy of Interactive Dynamic Process on Scale-Free Network, Applied Mechanics and Materials 421, 711-716.

Other Academic & Teaching Experiences

2014 - 2015 Reviewer, Journal of Statistical Mechanics: Theory and Experiment, Physica A: Statistical Mechanics and its Applications
2014 - 2015 Project Leader, Graduate Innovation Foundation for Graduates
2012 - 2014 Teaching Assistant, Mathematical Analysis, Linear Algebra, Probability and Statistics

Awards

2014.10  National Scholarship for Graduates
2013.06  Second Prize Scholarship for Graduates
2012.09  First Prize Scholarship for New Graduates
2012.05  First Prize, Student Research Training Program (SRTP)
2012.01  Second Prize Scholarship for Undergraduates
2011.01  Third Prize scholarship, Excellent Extra Curricular Service
2008.11  Second Prize, “Beihang Stars” Debate Contest
2008.09  First Prize Scholarship for Freshman

Social Experiences

2013.06 - 2013.11 Intern, Tele-Services Project, BMW Group
2012.06 - 2012.09 Intern, Department of GRE & TOFEL Training, New Oriental Education & Technology Group
2011.07 - 2011.08 Volunteer, Glacier Rescue Activity, Environmental Protection Agency “Green River”
2010.09 - 2011.09 Founder & Chairman, Student Reasoning Club, Beihang University

[1]. F. Morone, H. A. Makse. Influence maximization in complex networks through optimal percolationNature 524, 65–68 (2015)

Last updated: September 8, 2015