Zhenkun Zhou 👨🏻💻
Zhenkun Zhou (周振坤) is a Ph.D. candidate of Computer Science in Beihang University (北京航空航天大学) under supervision of Professor Ke Xu (许可). His research focuses on
computational social science, social networks and machine
From 2018, he has been visiting Levich Institute, City College of New York, under supervision of
Professor Hernan Makse
He also works as an intern researcher and big-data engineer in Company of Warming Technology, in charge of analyzing online social networks
and stock markets.
Homophily of Music Listening in Online Social Networks of China
Social Networks, Volume 55, October 2018, Pages 160-169
[*New] Artificial intelligence for elections: the case of 2019 Argentina primary and presidential
We present our predictions based on big-data and machine learning model
for the upcoming general presidential election
Extroverts Tweet Differently from Introverts in Weibo
Tales of Emotion and Stock in China: Volatility, Causality and Prediction
World Wide Web, 2017.
Can Online Emotions Predict the Stock Market in China?
Web Information Systems Engineering (WISE), 2016.
*Best Paper award honorable mention (最佳论文提名奖)
Dance music joints musicians of different genres
Through systematically studying the collaboration network of musicians, we conclude that dance music plays
an essential role in promoting the collaboration of musicians in music creation.
Russian trolls on Twitter during the 2016 U.S. President Election
Losses Loom Larger than Gains in Social Media
This research investigates the association between stock market and corresponding online behaviors in
social media. It is revealed that people are not only sensitive to losses than to gains, but also attach
great importance to losses, which
demonstrate the robustness of the sensitive and attentional effect of losses.
How Brainwashing Songs Wash the Brain
The study explores the method to recognize those "brainwashing" songs and try to find an effective and
accurate way to predict
the popularity of songs. In addition, through the EEG experiment, the research verifies that brainwiashing
songs could have some impact on human brain.
Live Daily Prediction Using Artificial Intelligence
Through collecting a massively large number of tweets and building machine learning models, Zhenkun Zhou and
Hernan Makse investigate the dynamics of the Twitter social network formed by the interactions among
millions of Twitter supporters. We then infer the opinion of each user with Artificial Intelligence on the
candidates of the 2019 Argentina presidential election.
SONG IS U
This project is collecting kinds of real-time data in Netease Music platform, including the massive user
Through online analyzing the indivdual and collective listening records, we uncover ''WHO ARE U'' in
Stock Prediction System with SVM-ES
The system applies the SVM based on online emotions to predict the price and volume of stock market in
It provides the prediction results to Company of Warming Technology for paid service.
Cyberpsychology, Behavior, and Social Networking; PLoS One; IEEE Transactions on Big Data; Journal of
Computational Social Science