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Qi Xingqin

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Position:  Professor,  Ph. D Supervisor

Department: School of Mathematics and Statistics,

                       Shandong University (Weihai)

Research Interests: Complex network analysis, Data mining, Graph theory and its applications

TEL:86-631- 5688523

E-mail:qixingqin@sdu.edu.cn

               qixingqin@163.com

 

EDUCATION:

              1997.09-2001.07  Schoold of Mathematics    Shandong University    Bachelor degree

             2001.09-2006.07  Schoold of Mathematics    Shandong University    Ph.D

             2009.05-2011.05   Department of Mathematics, West Virginia University, USA, Postdoctoral position

             2012.09-2013.09   Department of Mathematics, West Virginia University, USA, Visiting Scholar


PROFESSIONAL APPOINTMENTS:

Director of the Graph theory and combination Branch, Operations Research Society of China

 

PUBLICATIONS:

  1. Min Liu, Zhen Xiong, Yue Ma, Peng Zhang, Jianliang Wu, Xingqin Qi*. DPRank centrality: Finding important vertices based on random walks with a new defined transition matrix. Future Generation Comp. Syst. 83: 376-389 (June  2018)

  2. Min Liu, Yue Ma, Zhulou Cao, Xingqin Qi*. ECP-RankA novel vital node identifying mechanism combing PageRank with link prediction index. Physica A Statistical Mechanics & Its Applications, 521 (2018): 1183-1191.( SCI, IF 2.132

  3. Qi X*, Song H, Wu J, et al. Eb&D: A new clustering approach for signed social networks based on both edge-betweenness centrality and density of subgraphs[J]. Physica A Statistical Mechanics & Its Applications,  15 September  2017, 482 147-157.

  4. Xingqin Qi*, Ruth Luo, Edgar Fuller, Rong Luo, Cun-Quan Zhang. Signed Quasi-Clique Merger: A New Clustering Method for Signed Networks with Positive and Negative Edges. International Journal of Pattern Recognition and Artificial Intelligence 30(3) ( March 2016)

  5. Zengchao Mu, Guojun Li,  Haiyan Wu , Xingqin Qi*, 3D–PAF Curve: A Novel Graphical Representation of Protein Sequences for Similarity Analysis, MATCH Commun. Math. Comput. Chem. 75 (Jan. 2016) 447-462.

  6. Xingqin Qi, Edgar Fuller ,Rong Luo, Cun-Quan Zhang*. A novel centrality method for weighted networks based on the Kirchhoff Polynomial, Pattern Recognition Letters, vol. 58, pp 51-60, 2015

  7. Xingqin Qi*, Edgar Fuller ,Rong Luo, Cun-Quan Zhang . Laplacian energy of digraphs and a minimum Laplacian energy algorithm International Journal of Foundations of Computer Science, 26(3): 367-380 (2015).

  8. Xingqin Qi, Wenliang Tang, Yezhou Wu, Guodong Guo, Eddie Fuller, Cun-Quan Zhang*, Optimal local community detection in social networks based on density drop of subgraphs, Pattern Recognition Letters, vol. 36, pp. 46-53, 2014.

  9. Xingqin Qi, Robert D. Duval, Kyle Christensen, Edgar Fuller, Arian Spahiu, Qin Wu, Yezhou Wu, Wenliang Tang, Cunquan Zhang*, Terrorist Networks, Network Energy and Node Removal: A New Measure of Centrality Based on Laplacian Energy, Social Networking,  vol.02 (01), pp.19-31, 2013.

  10. Qin Wu*, Xingqin Qi, Eddie Fuller, and Cun-Quan Zhang, Follow the Leader: A Centrality Guided Clustering and Its Application to Social Network AnalysisThe Scientific World Journal, Article ID368568, 2013.

  11. Xingqin Qi*, Edgar Fuller, Qin Wu, and Cun-Quan Zhang, Numerical Characterization of DNA Sequence Based on Dinucleotides, The Scientific World Journal, Article ID 104269, 2012.

  12. Xingqin Qi, Edgar Fuller, Qin Wu, Yezhou Wu, Cun-Quan Zhang*, Laplacian centrality: A new centrality measure for weighted networks, Information Sciences, vol. 194, pp.240-253, 2012.

  13. Xingqin Qi, Qin Wu, Yusen Zhang, Eddie Fuller, Cun-quan Zhang, A Novel Model for DNA Sequence Similarity Analysis Based on Graph Theory, Evolutionary Bioinformatics, 7:149-157, 2011.

  14. Xingqin Qi, Guojun Li, Shuguang Li, Ying Xu, Sorting genomes by reciprocal translocations, insertions and deletions, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 7(2):365-374, 2010.

  15. Xingqin Qi, Kyle Christensen, Robert Duval, Edgar Fuller, Arian Spahiu, Qin Wu, Cun-Quan Zhang, A Hierarchical Algorithm for Clustering Extremist Web Pages, ASONAM 2010, 458-463, 2010.


RESEARCH PROJECTS:

1. The study of optimization problem in signed complex networks with the techniques of graph theory;National atural Science Foundation of China , PI;

2.  The study of Influence Maximum Problem on multilayer networks,Natural Science Foundation of Shandong Province , PI.

    

AWARDS: