潘雪

117

Personal Information

Personal Information

  • School/Department:

    School of Management Science and Engineering
  • Education Level:

    With Certificate of Graduation for Doctorate Study
  • Business Address:

    阅江楼345
  • Gender:

    Female
  • Contact Information:

    x.pan@nuist.edu.cn
  • Degree:

    Doctoral Degree in Philosophy
  • Professional Title:

    Associate professor
  • Status:

    在岗
  • Supervisor of Master's Candidates
  • Teacher College:

    School of Management Science and Engineering

Other Contact Information

    E-mail:x.pan@nuist.edu.cn

Profile

Field of Study

 Computational Social Science, Electronic Commerce, Management Science, Interdisciplinary

My research is multidisciplinary and data-driven, solving social science phenomenon, in particular, online user behaviours, based on computational methods like simulation modelling, econometrics modelling. One of the objectives of my PhD research is consumer behaviour. We mainly focus on the impact of online product review on the consumer behaviours on the e-commerce websites such as engagement in the posting behaviour and product selection behaviour.

Publications

  • Pan, X., Hou, L., Liu, K. (2020). The Effect of Product Distance on the WOM in Recommendation Network. Electronic Commerce Research. (SSCI, in press)

  • Pan, X., Hou, L., Liu, K., & Niu, H. (2018). Do reviews from friends and the crowd affect online consumer posting behaviour differently? Electronic Commerce Research and Applications, 29, 102-112. (SSCI)

  • Hou, L., Pan, X., & Liu, K. (2018). Balancing the popularity bias of object similarities for personalised recommendation. European Physical Journal B, 91(3), 47. (SCI)

  • Pan, X., Hou, L., & Liu, K. (2017). Social influence on selection behaviour: Distinguishing local-and global-driven preferential attachment. PLOS ONE, 12(4), e0175761. (SCI&SSCI)

  • Pan, X., Hou, L., & Liu, K. (July 2017) On the prediction of future helpfulness. In: Proceedings of International Conference on Logistics, Informatics and Service Sciences. Kyoto, Japan.

  • Pan, X., Hou, L., Stephen, M., Yang, H., & Zhu, C. (2014). Evaluation of scaling invariance embedded in short time series. PLOS ONE, 9(12), e116128. (SCI)

  • Pan, X., Hou, L., Stephen, M., & Yang, H. (2014). Long-term memories in online users' selecting activities. Physics Letters A, 378(35), 2591-2596. (SCI)

  • Liu, J., Hou, L., Pan, X., Guo, Q., & Zhou, T. (2016). Stability of similarity measurements for bipartite networks. Scientific Reports, 6, 18653. (SCI)

  • Xiao, Q., Pan, X., Stephen,M., et al., (2015). Discrete scale-invariance in cross-correlations between time series. Physica A: Statistical Mechanics and its Applications, 412, 161-170. (SCI)

  • Hou, L., Pan, X., Guo, Q., & Liu, J. (2014). Memory effect of the online user preference. Scientific Reports, 4, 6560. (SCI)

  • Qin, X., Pan, X., Xin-Li, L., et. al. (2014). Row—column visibility graph approach to two-dimensional landscapes. Chinese Physics B, 23(7), 078904. (SCI)

  • Hou, L., Liu, J., Pan, X., Guo, Q., & Wang, B. H. (2014). Simulation of pedestrian evacuation based on Jilin fire. Acta Physica Sinica, 63(17), 178902-178902. (SCI)

  • Hou, L., Liu, J., Pan, X., & Wang, B. H. (2014). A social force evacuation model with the leadership effect. Physica A, 400, 93-99. (SCI)

  • Hou, L., Liu, J., Pan, X., Song, W. J., & Li, X. D. (2014). Prediction of collective opinion in consensus formation. International Journal of Modern Physics C, 25(04), 1450002. (SCI)


 Awards

  • PhD scholarship from Henley Business School, University of Reading, 2016-2019

  • PhD scholarship from China Scholarship Council for 48 months, 2016-2020

  • National scholarship for graduate student, 2014


Educational Experience

  • 2016.1 to 2019.7

    英国雷丁大学 | 商业信息学 | 哲学博士 | 博士研究生 | 亨利商学院

Work Experience

  • 2015.3 to 2015.7

    City University of Hong Kong | Web Mining Lab | March. 2015 - July 2015 | Research assistant | 互联网挖掘实验室,担任研究助理。主要职责:建立网络爬虫,对社交媒体数据(TB级)进行抓取和存储、管理;设计合适的算法与模型对数据进行分析;整理、书写研究报告,发布研究结果。

Research Focus

  • [1] Computational Social Science, Electronic Commerce, Digital Marketing,Online Review Mining, Consumer Behavior Analysis

Social Affiliations

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Name of Research Group:

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