scholarNetwork is a python package for crawling and visualizing the co-author network of Google Scholar.
Selected Publications
Jumping onto the Bandwagon of Collective Gatekeepers: Testing the Bandwagon Effect of Information Diffusion on Social News Website
Based on collaborative information filtering and information aggregation services, the social news website carries out a collective gatekeeping function, supplying an empirical ground to test the bandwagon effect on information diffusion. Modeling the interpersonal effect and bandwagon effect in collective gatekeeping with threshold models, we confirm the bandwagon effect of collective gatekeeping on news diffusion with two novel datasets. The results demonstrate that the bandwagon of collective gatekeepers is the primary driver for online news diffusion. Interestingly, the bandwagon effect of collective gatekeeping is moderated by the strength of interpersonal effects. The theoretical generalizations of this research contribute to our understanding about the impact of collective gatekeeping on information diffusion.
Telematics and Informatics, 2019.
The Hidden Shape of Stories Reveals Positivity Bias and Gender Bias
To capture the shape of stories is crucial forunderstanding the mind of human beings. In this research, we use word emdeddings methods, a widely used tool in natural language processing and machine learning, in order to quantify and compare emotional arcs of stories over time. Based on trained Google News word2vec vectors and film scripts corpora (N =1109), we form the fundamental building blocks of story emotional trajectories. The results demonstrate that there exists only one universal pattern of story shapes in movies. Furthermore, there is a positivity and gender bias in story narratives. More interesting, the audience reveals a completely different preference from content producers.
arXiv:1811.04599v1 [cs.CL], 2018.
计算传播学导论
Introduction to Computational Communication (In Chinese 计算传播学导论) now available on dangdang.com for pre-order! http://product.dangdang.com/25581097.html. With the development of digital media, data-driven journalism, computational advertising, and media recommendation systems become a worldwide trend. At the same time, the study of information flow in online social networks has attracted a lot of attention; machine learning, as well as data science have made a big leap forward. Put together, all of these factors discussed above speed up the tide of computational communication research.
北京师范大学出版社, 北京, ISBN: 9787303241200, 2018.
The Collective Direction of Attention Diffusion
We suggest that the tree-like, stable structure of clickstream networks reveals the time-sensitive preference of users in online browsing. To test our assumption, we discuss three models on individual browsing behavior, and compare the simulation results with empirical data.
In Scientific Reports 6, Article number: 34059 (2016) doi:10.1038/srep34059, 2016.
