Teamspector is a complex network framework for experimenting with collaborative data. Currently it includes:
- IMDb data extraction (
- IMDb data pre-processing.
- IMDb EDA.
New Data Sources
- The MovieLens dataset.
- Other collaborative networks:
- Scientific Research (google schoolar scrapper)
- Github projects
- Board of directors
- High school students
- Government cabinets
- Small size military units
- Book authors
New Research Hypothesis
- Study the maturation time for nodes to become productive. Detect which nodes aren't maturating on time, predict whether they will maturate at all.
- Study whether teams with more influent nodes produce better results.
- Amaral, Scala, Barthelemy & Stanley, 2000
- Herr, Ke, Hardy & Börner, 2007
- Watts & Strogatz, 1998
- Mei-Chen Yeh, Wen-Po Wu, 2007 Clustering Faces in Movies Using an Automatically Constructed Social Network.
- Dominique Haughton, Mark-David McLaughlin, Kevin Mentzer, Changan Zhang, 2014 Movie analytics: Visualization of the co-starring network
- An Zeng, Stanislao Gualdi, Matus Medo, Yi-Cheng Zhang, 2013 Trend Prediction in Temporal bipartite Networks: the Case of MovieLens,…
- Daehoon Kim, Daeyong Kim, Eenjun Hwang, Hong-Gu, 2013 Choi: A user opinion and metadata mining scheme for predicting box office…
- Li Zhang, Jianhua Luo, Suying Yang, 2009 Forecasting box office revenue of movies with BP neural network
- Predicting Golden Globe Awards & Christmas Day Gross (http://goo.gl/gCbEyQ)