Yue Ma, Jichang Zhao and Shan Lu*. Mutual fund net flows in China: A co-holding network perspective. Frontiers in Physics, 11:1142905, 2023. DOI=10.3389/fphy.2023.1142905. [Data]
Han Zhang, Yang Yang and Jichang Zhao*. Does game-irrelevant chatting stimulate high-value gifting in live streaming? A session-level perspective. Computers in Human Behavior, 138, 107467, 2023. [Data]
Di Weng, Yang Yang and Jichang Zhao*. Positive emotions help rank negative reviews for sellers and producers in e-commerce. The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2022) [Lexicon]
Yaping Zho, Ramgopal Ravi, Shuhui Shi, Zhongrui Wang, Edmund Lam and Jichang Zhao*. H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in Case of Beijing. The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2022). [Data] [Code]
Yaping Zho, Ramgopal Ravi, Shuhui Shi, Zhongrui Wang, Edmund Lam and Jichang Zhao*. PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction. The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2022). [Data]
Yuwei Chuai and Jichang Zhao*. Anger Can Make Fake News Viral Online. Frontiers in Physics, 10:970174, 2022, doi:10.3389/fphy.2022.970174. [Data] [New Scientist]
Menhan Sun and Jichang Zhao*. Behavioral Patterns beyond Posting Negative Reviews Online: An Empirical View. Journal of Theoretical and Applied Electronic Commerce Research, 2022, 17(3):949-983. https://doi.org/10.3390/jtaer17030049. [Data]
Bowen Shi, Ke Xu and Jichang Zhao*. Behavior Variations and Their Implications for Popularity Promotions: From Elites to Mass on Weibo. Entropy, 2022, 24(5), 664. https://doi.org/10.3390/e24050664. [Data]
Junran Wu, Ke Xu, Xueyuan Chen, Shangzhe Li and Jichang Zhao*. Price graphs: Utilizing the Structural Information of Financial Time Series for Stock Prediction. Information Sciences, 588:405-424, 2022. [Code&Data]
Shan Lu, Jichang Zhao* and Huiwen Wang. MD-MBPLS: A Novel Explanatory Model in Computational Social Science. Knowledge-Based Systems, DOI:https://doi.org/10.1016/j.knosys.2021.107023, 2021. [SI]
Junran Wu, Ke Xu and Jichang Zhao*. Predicting Long-term Returns of Individual Stocks with Online Reviews. Neurocomputing, 417(5): 406–418, 2020. [SI]
Shan Lu, Jichang Zhao* and Huiwen Wang. Trading Imbalance in Chinese Stock Market—A High-Frequency View. Entropy, 2020, 22(8), 897. [Data]
Shan Lu, Jichang Zhao* and Huiwen Wang. The Emergence of Critical Stocks in Market Crash. Frontiers in Physics, 8, 49, 2020. [Data] [Editor’s Pick 2021]
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Zilong Zhao#, Jichang Zhao#, Yukie Sano#, Orr Levy#, Hideki Takayasu, Misako Takayasu, Daqing Li, Junjie Wu and Shlomo Havlin. Fake news propagates differently from real news even at early stages of spreading. EPJ Data Science, 9, 7, 2020. [Data] [ScienceNews]
Bowen Shi, Jichang Zhao* and Ke Xu. A Word2vec Model for Sentiment Analysis of Weibo. In 16th International Conference on Service Systems and Service Management (ICSSSM), 2019. [Model]
Xiaoqian Hu, Jichang Zhao, Hong Li and Junjie Wu. Online Footprints of Workforce Migration and Economic Implications. Physica A: Statistical Mechanics and its Applications, 528, 2019. [Data]
Zhenkun Zhou, Ke Xu and Jichang Zhao*. Extroverts Tweet Differently from Introverts in Weibo. EPJ Data Science, 7:18, 2018. [Data]
Yuejun Wang, Zhong Yao and Jichang Zhao*. Disease Patterns Recognition Based on User-Generated Content. In 15th International Conference on Service Systems and Service Management (ICSSSM), 2018. [Data]
Shan Lu, Jichang Zhao*, Huiwen Wang and Ruoen Ren. Herding Boosts Too-connected-to-fail Risk in Stock Market of China. Physica A: Statistical Mechanics and its Applications, 505:945-964, 2018. [Data]
Rui Fan, Ke Xu and Jichang Zhao*. An Agent-based Model for Emotion Contagion and Competition in Online Social Media. Physica A: Statistical Mechanics and its Applications, 495, 245–259, 2018. [Code]
Rui Fan, Ke Xu and Jichang Zhao*. A GPU-based solution for fast calculation of the betweenness centrality in large weighted networks. PeerJ Comput. Sci. 3:e140, DOI 10.7717/peerj-cs.140, 2017. [Code]
Yingying Xu, Zhixin Liu, Jichang Zhao and Chiwei Su. Weibo sentiments and stock return: A time-frequency view. PLOS ONE 12(7): e0180723, 2017. [Data]
Zhemin Jia and Jichang Zhao. Governmental microblogs in Beijing: Topic Landscape and Service Transformation. E-GOVERNMENT, 4:38-48, 2017. (In Chinese) [Data]
Jichang Zhao*, Ruiwen Li, Xiao Liang and Ke Xu. Second Ring Is the Most Jammed Road in Beijing: A View from Taxis and Weibo. In 13th International Conference on Service Systems and Service Management (ICSSSM), 2016. [Data]
Yue Hu, Jichang Zhao and Junjie Wu. Emoticon-Based Ambivalent Expression: A Hidden Indicator for Unusual Behaviors in Weibo. PLOS ONE 11(1):e0147079, 2016. [Data]
Xiao Liang, Jichang Zhao* and Ke Xu. A general law of human mobility. Science China Information Sciences, 58(10):1-14, 2015. [Data]
Jichang Zhao*, Xiao Liang and Ke Xu. Competition between Homophily and Information Entropy Maximization in Social Networks. PLOS ONE 10(9):e0136896, 2015. [Data]
Rui Fan, Jichang Zhao* and Ke Xu. Topic dynamics in Weibo: a comprehensive study. Social Network Analysis and Mining, 5:41, 2015. (Extended Version) [Data]
Rui Fan, Jichang Zhao, Yan Chen and Ke Xu. Anger is more influential than joy: Sentiment correlation in Weibo. PLOS ONE 9 (10):e110184, 2014. [Data] [MIT Tech. Review] [BBC]
Rui Fan, Jichang Zhao and Ke Xu. Topic dynamics in Weibo: Happy Entertainment dominates but angry Finance is more periodic. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2014. [Data]
Xiao Liang, Jichang Zhao, Li Dong and Ke Xu. Unraveling the origin of exponential law in intra-urban human mobility. Scientific Reports 3, 2983, 2013. [Data]
Yan Chen, Jichang Zhao, Xia Hu, Xiaoming Zhang, Zhoujun Li and Tat-Seng Chua. From Interest to Function: Location Estimation in Social Media. In Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2013. [Data]
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