Using geolocation information in a social graph with sharing activity of users of the open web

1. A method comprising:

receiving first activity information for a sender of a first link to at least one recipient collected by a collection resource at a Web site, wherein no personally identifiable information of the sender is collected in collecting the first activity information;

storing the first activity information at a storage server;

receiving second activity information when the at least one recipient accesses the first link sent by the sender corresponding to the first activity information stored at the storage server, wherein no personally identifiable information of the at least one recipient is collected in collecting the second activity information;

using at least one processor, attempting to identify a first node representative of the sender in a social graph, wherein nodes in the social graph do not store personally identifiable information;

when a first node representative of the sender in a social graph is not identified and after receiving the second activity information, creating a second node to represent the sender in the social graph;

receiving a geofencing alert from a mobile device of a first user, wherein a geofencing software development kit is integrated in an application on the mobile device, and the geofencing alert is a result of the mobile device entering a geofence location;

using at least one processor, based on the geofencing alert, attempting to identify a third node representative of the first user in a social graph, wherein no personally identifiable information of the first user is collected in the geofencing alert;

determining the third node in the social graph is representative of the first user; and

updating the third node in the social graph based on the geofencing alert received for the first user.

2. The method of claim 1 wherein the updating the third node in the social graph based on the geofencing alert received for the first user comprises

storing information comprising a geofencing category and time of geofencing crossing associated with the geofencing alert received for the first user with the third node.

3. The method of claim 2 comprising:

serving a personalized content to the first user based on the information comprising a geofencing category and time of geofencing crossing associated with the geofencing alert.

4. The method of claim 3 wherein the personalized content is personalized to the first user for the geofence location and a time that the personalized content is served is within a predetermined time period after the geofencing alert.

5. The method of claim 4 wherein the predetermined time period is at least one of 1, 2, 3, 5, 30, or 60 minutes or less.

6. The method of claim 3 wherein the personalized content is served to the first user before the first user exits the geofence location.

7. The method of claim 1 wherein the attempting to identify a third node representative of the first user in a social graph comprises

when a cookie is included with the geofencing alert, extracting a user identifier from the cookie and attempting to identify a node in the social graph having the same user identifier, and

when a cookie is not included with the geofencing alert, receiving device fingerprinting attributes from the mobile device and using probabilistic fingerprinting algorithms and the device fingerprinting attributes to identify a node match in the social graph.

8. The method of claim 1 wherein the attempting to identify a third node representative of the first user in a social graph comprises

when a cookie is not included with the geofencing alert, receiving device fingerprinting attributes from the mobile device, extracting a device identifier from the device fingerprinting attributes, and attempting to match the extracted device identifier to a device identifier associated with a node in the social graph.

9. The method of claim 1 wherein the device identifier comprises a hashed device identifier.

10. The method of claim 7 wherein the using probabilistic fingerprinting algorithms and the device fingerprinting attributes to identify a node match in the social graph comprises

inferring a relationship exists between the mobile device and another device if the two devices are often reported to be at a location or vicinity of the location during the same or similar time period.

11. The method of claim 7 wherein the device fingerprinting attributes comprise at least one of device identifiers; IP addresses; operating systems; browser types; browser versions; or user navigational, geo-temporal, and behavioral patterns.

12. The method of claim 1 wherein the collection resource at a Web site used to collect first activity information comprises a sharing widget.

13. The method of claim 1 wherein the collection resource at a Web site used to collect first activity information comprises a uniform resource locator (URL) shortening.

14. The method of claim 1 wherein the collection resource at a Web site used to collect first activity information comprises an instant messenger application.

15. The method of claim 1 comprising:

serving a personalized content to the first user based on a connectivity of the third within the social graph, wherein the personalized content is personalized to the third node.

16. The method of claim 1 comprising:

serving a personalized content to the first user based on the geofence location that triggered the geofencing alert, wherein the personalized content is personalized to the first user for the geofence location.

17. The method of claim 1 wherein the serving a personalized content to the first user is via a push notification message to the mobile device.

18. The method of claim 1 wherein the geofencing alert from a mobile device of a first user is triggered while the mobile device is inactive.

19. The method of claim 1 wherein the geofencing alert from a mobile device of a first user is triggered while the application with the geofencing software development kit is closed.

20. The method of claim 1 comprising:

receiving a bid request from a real-time bidding exchange;

determining the bid request is associated with the third node in the social graph; and

based on at least information associated with the third node in the social graph, determining a personalized digital content for a bid in response to the bid request.

21. The method of claim 20 comprising:

using the social graph, selecting a personalized digital content for delivery to the at least one recipient, wherein the personalized digital content is personalized to the third node, which is representative of the first user.