Silk.co teamed up with LittleBird to create a list of the most influential “data science” accounts on Twitter. LittleBird uses an algorithm to rate an account’s influence based upon retweets from other influencers and network activity.
I was humbled to be included on the list with some very highly influential people. If you are on twitter, the list includes some great people and companies to follow. See the entire analysis at The Data Science Influencers: The Tops in Terms of “Insider Score” According to Influence Mapping Tool LittleBird.
Have you ever wished you could create your own dataset from the vast data available from Twitter?
Well, wish no longer. I used the Sense Platform to Create a Dataset of Users from the Twitter API. Feel free to use this example to create your own datasets. The next great thing about Sense is: You can not only collect your data with Sense, but you can also use R or python to do your data analysis. The analysis will have to wait for another day.
Last week, I blogged about Sense: Data Science Platform of the Future. It is an excellent tool for running your data science analysis.
Twitter has just released the idea of a Data Grant. You have to login with your twitter account to see the details. The gist is: Twitter will provide you with historical twitter data for research purposes.
What could you do with this data?
The Real Data on Facebook vs. Google+ is a great article about the popularity of different social networks. All the big social networks (Twitter, Facebook, Google+, LinkedIn, Pinterests, and even Myspace) are included. If you have ever wondered whether Google+ is dead or not, this article will help you out. After the data was gathered and analyzed, it is clear that Facebook is currently winning the social media battle.
The best part of the article is an interactive infographic. You can change the view of the infographic for different years and different business segments. Here is a direct link to just the Interactive Infographic, Facebook Dominates Social Networking.
- LinkedIn They turn data into products better than anyone else.
- Facebook If you are the type of person that loves to analyze people’s lives, there is no better place.
- Twitter Duh, It’s Twitter. lots of data and lots of possibilities
- Cloudera Cloudera is a successful Hadoop-based startup. Build tools and explore huge datasets for a variety of industries.
- Kaggle If optimizing algorithms and really diving into the data to get every last ounce of information is your thing, then Kaggle is it. Plus, there is nowhere else you will get to work on so many important problems in such a wide range of domains. Unfortunately, Kaggle is not currently hiring any data scientists, but they most likely will be seeking more in the future.
There are many other companies hiring data scientists. Where would you like to be a data scientist?
DJ Patil and Josh Elman, both of Greylock Partners, give an insightful talk at LeWeb London 2012. The most important part was the introduction of the Data Scientific Method.
Data Scientific Method
- Start with a Question
- Leverage your current data
- Create features and run tests
- Analyze the results and draw insights
- Let the data frame a conversation
This is a fun and interactive visualization of 659 twitter accounts linked to data science.
This is a lengthy but very good slide deck on the what/why of the tools used at Twitter.
Note: The slide deck is about 2 years old.
Marketers should target customers that share a lot on social networks. Or not! I found it interesting that Twitter and Facebook were in the bottom 5 list of influences for the social consumer. I would have expected it to be different. Search results, brand websites and online adds are all more important. This is one example of data going contrary to my own belief.