Learning

  • Coursera: a great website for MOOC
  • Udacity: another great website for MOOC
  • MathWorld: a dictionary for mathematical terms

Tools

  • LaTex: a cool document preparation system
  • Python: sweet and easy-to-go language
  • MATLAB: not free, but still cool for a matrix fan like me
  • OneNote: note taking tool
  • Mendeley: an academic search engine as well as a FREE tool for paper management
  • Gephi: an amazing data analysis and visualization tool
  • NetLogo: a programmable modelling tool with visualization
  • HistCite: a package for bibliometric analysis and information visualization
  • ArnetMiner: a great academic search engine as well as a useful analysis tool
  • Google Scholar: search by paper
  • DBLP: comprehensive database for academic search. Search by author

Blogs and Homepages

  • Yin Wang: famous for his paper Work entirely on Linux/GNU, once triggering a fight between Windows users and Linux users. Also famous for his dropout from Tsinghua University and Cornell University
  • Chiyuan Zhang: CS P.hD. candidate in MIT. He often introduces the basic concepts as well as the advanced topics of machine learning, in the most readable way
  • Lada Adamic: one of my favorite researchers on social network. Also known for teaching a SNA course in Coursera
  • Mark Newman: a network scientist. Modularity by him is currently one of the most popular metric for community detection
  • Chris H.Q. Ding: research on Nonnegative Matrix Factorization(NMF) and Spectral Clustering
  • Jure Leskovec: a researcher on social network
  • Haesun Park: a researcher on NMF
  • Hui Xiong: an admirable researcher, whose autography is encouraging. Alumnus of USTC
  • Linli Xu: mentor forever and always, and I miss her
  • Ceren Budak: on computational social science
  • Fei Wang: a very active and broad-interested researcher on social networks, healthcare, etc
  • Jiawei Han: one of the leaders in data mining