Conference Submission Dates for Social Networking, Social Media Analytics, and Data Mining

I have composed a list of conferences by their usual submission month.
So in case you are searching for a venue to submit your work just estimate your progress and then google the web for the specific submission dates /deadlines.

• January
• ICWSM- International AAAI Conference on Weblogs and Social Media
• February
• WebScience- ACM Web Science
• KDD- ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• March
• WI-  IEEE/ACM Web Intelligence
• April
• ASONAM- IEEE/ACM International Conference on Advances in Social Network Analysis and Mining
• May
• CSCW- ACM Conference on Computer Supported Cooperative Work and Social Computing
• June
• CIKM- ACM International Conference on Information and Knowledge Management
• Juli
• ICDE- IEEE International Conference on Data Engineering
• August
• WSDM - ACM International Conference on Web Search and Data Mining
• ADMA- International Conference on Advanced Data Mining and Applications
• September
• CHI- ACM Conference on Human Factors in Computing Systems
• October
• WWW- International World Wide Web Conference
• SDM- SIAM International Conference on Data Mining
• November ...
• December ...

On searching the web for conference dates ratings and locations, I also found a nice Computer Science Conferences website. Check it out !

"Counting Little Words in Big Data" - C.Chung and J. Pennebaker

I just read a really nice paper about the usage of words counts to derive psychological measures.
Their method called language style matching (LSM) was able to generate nice correlations with diverse phenomena.
For example, the show a relation between LSM and relationship stability (via dating protocols), income distribution (via craigslist) and wiki site rankings (via discussion threads).

Further, they refer to some nice example of how to use huge collection of data to derive new knowledge.
WeFeelFine.org gives you a real time impression of the current feeling of twitter users and books.google.com/ngrams serves as historical view on our linguistic features.