-Group information that we can directly pull from the network data.
-number of shared groups for each friend in a users friend list
-Group information that we cannot directly pull but can infer:
-detect overlaps and containment within groups based on common attributes between a user and other users in his network (family members, high school friends, college friends, friends under same advisor).
e.g. all people in a user's network that are at WSU, user's that are engineering, CS users, ACM group,
-based on the above find commonalities in privacy settings. notify based on outliers.
-Group information that we can directly pull from the network data.
-number of shared groups for each friend in a users friend list
-Group information that we cannot directly pull but can infer:
-detect overlaps and containment within groups based on common attributes between a user and other users in his network (family members, high school friends, college friends, friends under same advisor).
e.g. all people in a user's network that are at WSU, user's that are engineering, CS users, ACM group,
-based on the above find commonalities in privacy settings. notify based on outliers.