Welcome to the homepage of the SUM (Social User Mining) project at Penn State University.
The SUM project aims to develop novel algorithmic solutions, working prototypes, and innovative applications for mining about users from their "publicly-available" social media data. Note that no illegally crawled or scraped data violating users' privacy or terms-of-service of social network sites will be used. Some of interesting information that we aim to mine about social users include:
While many social network sites offer users to provide their demographic and profile information upon registration, only small percentage of users provides them for various reasons (e.g., privacy concern, laziness). As such, being able to automatically discover such missing profile information of users in social media bears important and practical implications in real settings. For instance, social network sites themselves can use the home location information of users to personalize user accounts or contents accordingly. Similarly, companies can use the gender or age information of users to focus their advertisement campaigns further.
In the SUM project, in particular, we plan to study the following problems: