Calculating an entity'S location size via social graph
View Patent ↗Techniques for determining a location of an entity are described. A determination module using member profile data may determine the location of the entity. Member profile data can include information about a member's employer and the employer's location. The module accesses member profiles from a social network. Additionally, the module may create a subgroup of entity-related member profiles from the accessed member profiles. The entity-related member profiles can be associated with a specific entity. Furthermore, the module may determine a suggested location for the specific entity based on location information derived from the related member profiles. Moreover, the module may calculate a connection density for the specific entity based on connections associated with the entity-related member profiles. Subsequently, the module may determine that the suggested location is a physical location when the calculated connection density is above a pre-determined threshold value.
1. A method comprising:
accessing, using a network interface device, member profiles of a social network that are associated with an entity, yielding entity-related member profiles, each of the entity-related member profiles including data indicating that a respective user associated with the entity-related member profile is currently employed by the entity;
determining, using a processor, a number of the entity-related member profiles that are associated with a specific geographic location, yielding a number of location specific entity-related member profiles;
determining a penetration rate for the social network in the specific geographic location, the penetration rate indicating a percentage of people residing within the specific geographic location that have created member profiles on the social network;
dividing the number of location specific entity-related member profiles by the penetration rate, yielding an estimated number of employees of the entity residing in the specific geographic location;
updating an entity profile associated with the entity based on the estimated number of employees of the entity residing in the specific geographic location;
for each entity-related member profile, calculating a pagerank value, the pagerank value corresponding to a probability that a user accesses the respective entity-related member profile; and
for each entity-related member profile that has a pagerank value that meets or exceeds a threshold pagerank value, incrementing the estimated number of employees of the respective entity residing in the specific geographic location.
2. The method of claim 1 , wherein determining the number of entity-related member profiles that are associated with the specific geographic location comprises:
for each entity-related member profile, calculating a connection density; and
for each entity-related member profile determined to have a connection density that meets or exceeds a threshold connection density, incrementing the number of entity-related member profiles that are associated with the specific geographic location.
3. The method of claim 1 , wherein determining the number of entity-related member profiles that are associated with the specific geographic location comprises:
for each entity-related member profile, calculating a member engagement value, the member engagement value corresponding to an amount of usage of the social network by the respective entity-related member profile; and
for each entity-related member profile that has an engagement value that meets or exceeds a threshold engagement value, incrementing the number of entity-related member profiles that are associated with the specific geographic location.
4. The method of claim 1 , further comprising:
presenting, a webpage corresponding to the entity profile, the webpage including the estimated number of employees of the entity residing in the specific geographic location.
5. The method of claim 1 , further comprising:
receiving a user input corresponding to a company size at the specific location; and
verifying the company size at the specific location based on the estimated number of employees of the entity residing in the specific geographic location.
6. The method of claim 1 , further comprising:
receiving a user input corresponding to a company size for the entity; and
verifying the company size based on the estimated number of employees of the entity residing in the specific geographic location and one or more other location sizes for one or more other locations associated with the entity.
7. The method of claim 1 , wherein the penetration rate for the social network in the specific geographic location is determined based on a number of active Internet users for the specific geographic location.
8. The method of claim 1 , wherein the penetration rate for the social network in the specific geographic location is determined based on a penetration rate for a business department associated with the location specific entity-related member profiles.
9. The method of claim 1 , wherein the penetration rate for the social network in the specific geographic location is determined based on social graph data for the location-related location specific entity-related member profiles.
10. The method of claim 1 , wherein the penetration rate for the social network in the specific geographic location is determined based on member activity and behavior data for the location specific entity-related member profiles.
11. A system comprising:
one or more computer processors; and
one or more computer-readable mediums storing instructions that, when executed by the one or more computer processors, cause the system to perform operations comprising:
accessing member profiles of a social network that are associated with an entity, yielding entity-related member profiles, each of the entity-related member profiles including data indicating that a respective user associated with the entity-related member profile is currently employed by the entity;
determining a number of the entity-related member profiles that are associated with a specific geographic location, yielding a number of location specific entity-related member profiles;
determining a penetration rate for the social network in the specific geographic location, the penetration rate indicating a percentage of people residing within the specific geographic location that have created member profiles on the social network;
dividing the number of location specific entity-related member profiles by the penetration rate, yielding an estimated number of employees of the entity residing in the specific geographic location;
updating an entity profile associated with the entity based on the estimated number of employees of the entity residing in the specific geographic location;
for each entity-related member profile, calculating a pagerank value, the pagerank value corresponding to a probability that a user accesses the respective entity-related member profile; and
for each entity-related member profile that has a pagerank value that meets or exceeds a threshold pagerank value, incrementing the estimated number of employees of the respective entity residing in the specific geographic location.
12. The system of claim 11 , wherein determining the number of entity-related member profiles that are associated with the specific geographic location comprises:
for each entity-related member profile, calculating a connection density; and
for each entity-related member profile determined to have a connection density that meets or exceeds a threshold connection density, incrementing the number of entity-related member profiles that are associated with the specific geographic location.
13. The system of claim 11 , wherein determining the number of entity-related member profiles that are associated with the specific geographic location comprises:
for each entity-related member profile, calculating a member engagement value, the member engagement value corresponding to an amount of usage of the social network by the respective entity-related member profile; and
for each entity-related member profile that has an engagement value that meets or exceeds a threshold engagement value, incrementing the number of entity-related member profiles that are associated with the specific geographic location.
14. The system of claim 11 , the operations further comprising:
presenting, a webpage corresponding to the entity profile, the webpage including the estimated number of employees of the entity residing in the specific geographic location.
15. The system of claim 11 , the operations further comprising:
receiving a user input corresponding to a company size at the specific location; and
verifying the company size at the specific location based on the estimated number of employees of the entity residing in the specific geographic location.
16. The system of claim 11 , the operations further comprising:
receiving a user input corresponding to a company size for the entity; and
verifying the company size based on the estimated number of employees of the entity residing in the specific geographic location and one or more other location sizes for one or more other locations associated with the entity.
17. The system of claim 11 , wherein the penetration rate for the social network in the specific geographic location is determined based on a number of active Internet users for the specific geographic location.
18. The system of claim 11 , wherein the penetration rate for the social network in the specific geographic location is determined based on a penetration rate for a business department associated with the location specific entity-related member profiles.
19. A non-transitory computer-readable medium storing instructions that, when executed by one or more computer processors of a computing system, cause the computing system to perform operations comprising:
accessing member profiles of a social network that are associated with an entity, yielding entity-related member profiles, each of the entity-related member profiles including data indicating that a respective user associated with the entity-related member profile is currently employed by the entity;
determining a number of the entity-related member profiles that are associated with a specific geographic location, yielding a number of location specific entity-related member profiles;
determining a penetration rate for the social network in the specific geographic location, the penetration rate indicating a percentage of people residing within the specific geographic location that have created member profiles on the social network;
dividing the number of location specific entity-related member profiles by the penetration rate, yielding an estimated number of employees of the entity residing in the specific geographic location;
updating an entity profile associated with the entity based on the estimated number f employees of the entity residing in the specific geographic locations;
for each entity-related member profile, calculating a pagerank value, the pagerank value corresponding to a probability that a user accesses the respective entity-related member profile; and
for each entity-related member profile that has a pagerank value that meets or exceeds a threshold pagerank value, incrementing the estimated number of employees of the respective entity residing in the specific geographic location.