cuihuash
Prof of Communication at UC Davis. Social media, online games, networks and big data. www.shencuihua.com @cuihua
University of California, Davis
cuihuash's Stars
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
twintproject/twint
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
briatte/awesome-network-analysis
A curated list of awesome network analysis resources.
shaoanlu/faceswap-GAN
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
taspinar/twitterscraper
Scrape Twitter for Tweets
ondyari/FaceForensics
Github of the FaceForensics dataset
Jefferson-Henrique/GetOldTweets-python
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
fivethirtyeight/russian-troll-tweets
globalcitizen/2019-wuhan-coronavirus-data
2019 Wuhan Coronavirus data (COVID-19 / 2019-nCoV)
strohne/Facepager
Facepager was made for fetching public available data from YouTube, Twitter and other websites on the basis of APIs and webscraping.
compsocialscience/summer-institute
Summer Institutes in Computational Social Science
kateto/R-Network-Visualization-Workshop
Static and dynamic network visualization with R - code and tutorial from Sunbelt 2019 workshop.
datacarpentry/r-socialsci
R for Social Scientists
cbail/textasdata
This is a repo for a class on Text as Data
msalganik/soc596_f2016
Computational Social Science (SOC 596), Fall 2016
jbencina/facebook-news
msalganik/soc204_s2017
Social Networks (SOC 204), Spring 2017
xiaoanzi123/Conspiracy-narratives-and-debunking-about-COVID-19-origination-on-Chinese-social-media
●We use the largest Weibo post corpus to understand the prevalent conspiracy and counteractive narratives regarding COVID-19 origination, over different phases during the pandemic, from Jan 1 to April 30, 2020.
LyndonChenLuo/Homework
Harrison-M/hastac-blog
My HASTAC blog post Markdown sources
vincenthuang1229/collaboration-models
These models are aimed to investigate the mechanisms that engender the observed gender disparity, and show that explicit gender stereotypes against women, as much as they are prevalent in some tech communities, may not be the only driver for the uneven distribution of men and women in collaborative spaces. An initial experience differential between the two groups could create gender disparity alone, and such differential may be reinforced over time by various other factors.
YacineYakoubi/Facebook-Scrapper
Use python Facebook-sdk to scrappe facebook pages