Predicting Geolocation Of Users On Social Networks
A system and method for predicting the location of a user of social media utilizing information related to the interaction of the user with other users of the social media is described.
1 . A computer implemented method for predicting the geolocation of users in a social network, comprising:
receiving data on posts from a social network by a processor in operable communication with the social network;
identifying users on the social network using information data included in the posts;
identifying users with location information included in the posts and storing the location information for those users in a memory in operable communication with the processor;
identifying interactions between different users on the social network using the information data included in the posts;
determining an estimated location of a user whose posts do not include location information based on the user's interactions with other users on the social network; and
storing the estimated location of the user in the memory.
2 . The method of claim 1 , wherein identifying users with location information includes identifying posts of user's that contain latitude-longitude information.
3 . The method of claim 1 , wherein identifying users with location information includes identifying users who have self-reported their location.
4 . The method of claim 2 , wherein determining an estimated location for a user from a multitude of posts from that user containing latitude-longitude coordinates includes predicting a location from the multitude of posts.
5 . The method of claim 4 , wherein predicting a location includes determining a median of the coordinates.
6 . The method of claim 5 , further comprising determining a dispersion of the distances from the median for the coordinates.
7 . The method of claim 6 , further comprising generating a histogram of the distances from the median for the coordinates and identifying distinct peaks in the histogram.
8 . The method of claim 5 , further compromising generating a sorted array of the differences of the distances between the coordinates.
9 . The method of claim 8 , further compromising analyzing the sorted array and identifying clusters of locations.
10 . The method of claim 9 , further compromising determining values for a median and dispersion of each cluster.
11 . The method of claim 1 , wherein interactions between users are all treated equally.
12 . The method of claim 1 , wherein interactions between users are weighted differently depending on the type of interaction.
13 . The method of claim 1 , wherein interactions between users are weighted differently depending on the frequency of interaction between the users.
14 . The method of claim 1 wherein a subset of interactions between users are selected for use in determining an estimated location of a user whose posts do not include location information.