Social media influence of geographic locations

Abstract

The present disclosure relates generally to internet social media, and more specifically to techniques for determining location-related information about internet social media content. In some embodiments, a system accesses data representing a first social media post, the data including geographic location data identifying a first geographic location. The system identifies a second social media post related to the first post. The system accesses data representing the second social media post, wherein the data representing the second post does not include geographic location data identifying the first geographic location. The system analyzes the data representing the second social media post and determines a location score based at least in part on the analysis of the data representing the second social media post. If the location score exceeds a threshold location score, the system associates the second social media post with the first geographic location.

1 . (canceled) 
     
     
         2 . A system, comprising:
 one or more processors; and   memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for:   accessing data for a first social media post associated with a first geographic location;   accessing information regarding the first geographic location, wherein the information regarding the first geographic location includes a physical capacity measure for the first geographic location;   accessing information regarding a second geographic location different than the first geographic location, wherein the information regarding the second geographic location includes a physical capacity measure for the second geographic location;   determining a comparative social media influence metric for the first geographic location based at least in part on:
 the physical capacity measures for the first geographic location and the second geographic location; 
 an aggregate number of social media posts associated with the first geographic location; 
 an aggregated number of social media posts associated with a plurality of geographic locations, wherein the second geographic location is one of the plurality of geographic locations; 
 an aggregate number of user accounts that are associated with the first geographic location; and 
 an aggregate number of user accounts that are associated with the plurality of geographic locations; and 
   generating an output based at least in part on the determined comparative social media influence metric.   
     
     
         3 . The system of  claim 2 , the one or more programs further including instructions for:
 determining a measure of expected social media influence of the first geographic location based at least in part on physical capacity measures for a plurality of geographic locations, wherein the second geographic location is one of the plurality of geographic locations; and   wherein determining the comparative social media influence metric for the first geographic location is further based at least in part on the measure of expected social media influence of the first geographic location.   
     
     
         4 . The system of  claim 3 , wherein determining the measure of expected social media influence of the first geographic location comprises:
 determining a first proportion of the physical capacity measure of the first geographic location to an aggregate of all physical capacity measures of the geographic locations included in the plurality of geographic locations.   
     
     
         5 . The system of  claim 2 , wherein determining the comparative social media influence metric for the first geographic location comprises:
 determining a first influence component based on a ratio of the aggregate number of social media posts associated with the first geographic location to the aggregate number of social media posts associated with the plurality of geographic locations;   determining a second influence component based on a ratio of the aggregate number of user accounts that are associated with the first geographic location to the aggregate number of user accounts that are associated with the plurality of geographic locations; and   combining the first influence component and the second influence component to determine the comparative social media influence metric.   
     
     
         6 . The system of  claim 5 , wherein combining the first influence component and the second influence component comprises determining a weighted sum of the first influence component and the second influence component, wherein first influence component is weighted using a first weight value, and wherein the second influence component is weighted using a second weight value. 
     
     
         7 . A non-transitory computer-readable storage medium storing one or more programs configured to be executed by one or more processors of a system, the one or more programs including instructions for:
 accessing data for a first social media post associated with a first geographic location;   accessing information regarding the first geographic location, wherein the information regarding the first geographic location includes a physical capacity measure for the first geographic location;   accessing information regarding a second geographic location different than the first geographic location, wherein the information regarding the second geographic location includes a physical capacity measure for the second geographic location;   determining a comparative social media influence metric for the first geographic location based at least in part on:
 the physical capacity measures for the first geographic location and the second geographic location; 
 an aggregate number of social media posts associated with the first geographic location; 
 an aggregated number of social media posts associated with a plurality of geographic locations, wherein the second geographic location is one of the plurality of geographic locations; 
 an aggregate number of user accounts that are associated with the first geographic location; and 
 an aggregate number of user accounts that are associated with the plurality of geographic locations; and 
   
       generating an output based at least in part on the determined comparative social media influence metric. 
     
     
         8 . The non-transitory computer-readable storage medium of  claim 7 , the one or more programs further including instructions for:
 determining a measure of expected social media influence of the first geographic location based at least in part on physical capacity measures for a plurality of geographic locations, wherein the second geographic location is one of the plurality of geographic locations; and   wherein determining the comparative social media influence metric for the first geographic location is further based at least in part on the measure of expected social media influence of the first geographic location.   
     
     
         9 . The non-transitory computer-readable storage medium of  claim 8 , wherein determining the measure of expected social media influence of the first geographic location comprises:
 determining a first proportion of the physical capacity measure of the first geographic location to an aggregate of all physical capacity measures of the geographic locations included in the plurality of geographic locations.   
     
     
         10 . The non-transitory computer-readable storage medium of  claim 7 , wherein determining the comparative social media influence metric for the first geographic location comprises:
 determining a first influence component based on a ratio of the aggregate number of social media posts associated with the first geographic location to the aggregate number of social media posts associated with the plurality of geographic locations;   determining a second influence component based on a ratio of the aggregate number of user accounts that are associated with the first geographic location to the aggregate number of user accounts that are associated with the plurality of geographic locations; and   combining the first influence component and the second influence component to determine the comparative social media influence metric.   
     
     
         11 . The non-transitory computer-readable storage medium of  claim 10 , wherein combining the first influence component and the second influence component comprises determining a weighted sum of the first influence component and the second influence component, wherein first influence component is weighted using a first weight value, and wherein the second influence component is weighted using a second weight value. 
     
     
         12 . A computer-implemented method for generating a social media influence metric for a geographic location, the method comprising:
 accessing data for a first social media post associated with a first geographic location;   accessing information regarding the first geographic location, wherein the information regarding the first geographic location includes a physical capacity measure for the first geographic location;   accessing information regarding a second geographic location different than the first geographic location, wherein the information regarding the second geographic location includes a physical capacity measure for the second geographic location;   determining a comparative social media influence metric for the first geographic location based at least in part on:
 the physical capacity measures for the first geographic location and the second geographic location; 
 an aggregate number of social media posts associated with the first geographic location; 
 an aggregated number of social media posts associated with a plurality of geographic locations, wherein the second geographic location is one of the plurality of geographic locations; 
 an aggregate number of user accounts that are associated with the first geographic location; and 
 an aggregate number of user accounts that are associated with the plurality of geographic locations; and 
   
       generating an output based at least in part on the determined comparative social media influence metric. 
     
     
         13 . The method of  claim 12 , further comprising:
 determining a measure of expected social media influence of the first geographic location based at least in part on physical capacity measures for a plurality of geographic locations, wherein the second geographic location is one of the plurality of geographic locations; and   wherein determining the comparative social media influence metric for the first geographic location is further based at least in part on the measure of expected social media influence of the first geographic location.   
     
     
         14 . The method of  claim 13 , wherein determining the measure of expected social media influence of the first geographic location comprises:
 determining a first proportion of the physical capacity measure of the first geographic location to an aggregate of all physical capacity measures of the geographic locations included in the plurality of geographic locations.   
     
     
         15 . The method of  claim 12 , wherein determining the comparative social media influence metric for the first geographic location comprises:
 determining a first influence component based on a ratio of the aggregate number of social media posts associated with the first geographic location to the aggregate number of social media posts associated with the plurality of geographic locations;   determining a second influence component based on a ratio of the aggregate number of user accounts that are associated with the first geographic location to the aggregate number of user accounts that are associated with the plurality of geographic locations; and   combining the first influence component and the second influence component to determine the comparative social media influence metric.   
     
     
         16 . The method of  claim 15 , wherein combining the first influence component and the second influence component comprises determining a weighted sum of the first influence component and the second influence component, wherein first influence component is weighted using a first weight value, and wherein the second influence component is weighted using a second weight value.