1. Social Media Data Mining
By Jillian Munson

2. What is Data Mining?
The analytic process designed to explore data (usually large amounts of data) in search of consistent patterns and/or systematic relationships between variables
Media companies use data mining to analyze, extract, and represent predictable statistics on their social media sites.
Companies use this mined data to improve their sites’ accessibility and design to attract more users.

3. What Is Media?
The group of internet-based applications that build on the ideological and technological foundations of the web, and that allow the creation and exchange of user- generated content.

4. Types of Media Microblogging Social Networking Social Search
Twitter
Social Networking
Facebook, LinkedIn
News Aggregation
GoogleReader, StumbleUpon, Feedburner
Photosharing
Flickr, Photobucket, Picasa
Video Sharing
YouTube, MetaCafe
Social Search
Google, Bing, Ask.com
Instant Messaging
Google Talk, Skype, Yahoo! Messenger
Live Streaming
Ustream, Twitch

5. Extracting Data Data mining software tools
ExIf Tool, RapidMiner, SAS Enterprise, etc
Different software is used for different types of media
The software tracks how many views, ‘Likes’, shares, ‘Retweets’, ‘Reblogs’, ‘Reposts’, etc. any particular post accumulates
Extracted information is then recorded, stored, and analyzed
Social media and data experts use this information to predict future trends in media and the internet

6. Privacy Issues
Personal information is recorded and stored on the internet for anyone to see
Not just social media, but also credit card information, medical records, employment applications, etc. all require peoples’ personal information
This info is easily accessible if not protected properly
As mining software becomes more capable of storing large amounts of data, the easier it is to hack into systems and steal information

7. Data Mining Parameters
Path Analysis
Looking for patterns where one event leads to another later event
Classification
Looking for new patterns and changing the way data is organized
Classification algorithms help predict variables based on other factors within the database
Clustering
Finding and documenting groups of facts or data that were previously unknown
Groups sets of objects and aggregates them based on how similar they are to each other
Forecasting
A predictive modeling technique in which each model is made up of variables that are likely to influence future results
Once data has been collected for relevant predictors, a statistical model is formulated

8. Data Mining Benefits Companies use data mining tools to:
Uncover hidden data patterns and relationships
Make predictions about information
Detect fraud
Build risk models
Improve product safety
Identify quality issues
Manage the supply chain and improve operations

9. Resources http://searchsqlserver.techtarget.com/definition/data-mining