Method and systems for deriving relationships from overlapping time and location data are disclosed. A first user device receives time and location data for a first user, the time and location data for the first user representing locations of the first user over time, reduces the time and location data for the first user around a first plurality of artificial neurons, wherein each of the first plurality of artificial neurons represents a location of the first user during a first time, transmits the reduced time and location data for the first user to a server, wherein the server determines whether or not the first user and a second user are related based on determining that the first user and the second user have an artificial neuron in common among the first plurality of artificial neurons and a second plurality of artificial neurons.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of deriving relationships from overlapping time and location data, comprising: receiving, at a first user device, time and location data for a first user, the time and location data for the first user representing locations of the first user over time, wherein a second user device receives time and location data for a second user, the time and location data for the second user representing locations of the second user over time; reducing, at the first user device, the time and location data for the first user around a first plurality of artificial neurons, wherein each of the first plurality of artificial neurons represents a location of the first user during a first time, wherein the second user device reduces the time and location data for the second user around a second plurality of artificial neurons, wherein each of the second plurality of artificial neurons represents a location of the second user during a second time; and transmitting, by the first user device, the reduced time and location data for the first user to a server, wherein the second user device transmits the reduced time and location data for the second user to the server, wherein the server determines whether or not the first user and the second user are related based on determining that the first user and the second user have an artificial neuron in common among the first plurality of artificial neurons and the second plurality of artificial neurons. 2. The method of claim 1, wherein the location data for the first user comprises audio signatures indicating a proximity of the first user device to the second user device. 3. The method of claim 1, wherein the server determines transition distances for the first user and the second user based on the time and location data for the first user and the second user, wherein a transition distance represents a number of times a user device transitioned from one location to another location. 4. The method of claim 1, wherein the server determines global positioning system (GPS) distances for the first user and the second user based on the time and location data for the first user and the second user, a GPS distance representing a physical distance between a first location of a user and a second location of the user. 5. The method of claim 1, wherein the server maps the first user and the second user to the first plurality of artificial neurons and the second plurality of artificial neurons to which time and location data for that user was assigned. 6. The method of claim 5, wherein the server determines whether the first user and the second user are related based further on the mapping. 7. The method of claim 1, wherein the server infers social characteristics of the first user based on a number of determined relationships of the first user. 8. The method of claim 1, wherein the time and location data for the first user is received over a period of days. 9. An apparatus for deriving relationships from overlapping time and location data, comprising: a processor that receives time and location data for a first user of a first user device, the time and location data for the first user representing locations of the first user over time, and reduces the time and location data for the first user around a first plurality of artificial neurons, each of the first plurality of artificial neurons representing a location of the first user during a first time, wherein a second user device receives time and location data for a second user, the time and location data for the second user representing locations of the second user over time, and wherein the second user device reduces the time and location data for the second user around a second plurality of artificial neurons, wherein each of the second plurality of artificial neurons represents a location of the second user during a second time; and a transceiver that transmits the reduced time and location data for the first user to a server, wherein the second user device transmits the reduced time and location data for the second user to the server, wherein the server determines whether or not the first user and the second user are related based on determining that the first user and the second user have an artificial neuron in common among the first plurality of artificial neurons and the second plurality of artificial neurons. 10. The apparatus of claim 9, wherein the location data for the first user comprises audio signatures indicating a proximity of the first user device to the second user device. 11. The apparatus of claim 9, wherein the server determines transition distances for the first user and the second user based on the time and location data for the first user and the second user, wherein a transition distance represents a number of times a user device transitioned from one location to another location. 12. The apparatus of claim 9, wherein the server determines global positioning system (GPS) distances for the first user and the second user based on the time and location data for the first user and the second user, a GPS distance representing a physical distance between a first location of a user and a second location of the user. 13. The apparatus of claim 9, wherein the server maps the first user and the second user to the first plurality of artificial neurons and the second plurality of artificial neurons to which time and location data for that user was assigned. 14. The apparatus of claim 13, wherein the server determines whether the first user and the second user are related based further on the mapping. 15. The apparatus of claim 9, wherein the server infers social characteristics of the first user based on a number of determined relationships of the first user. 16. The apparatus of claim 9, wherein the processor receives the time and location data for the first user over a period of days. 17. An apparatus for deriving relationships from overlapping time and location data, comprising: means for receiving, at a first user device, time and location data for a first user, the time and location data for the first user representing locations of the first user over time, wherein a second user device receives time and location data for a second user, the time and location data for the second user representing locations of the second user over time; means for reducing, at the first user device, the time and location data for the first user around a first plurality of artificial neurons, wherein each of the first plurality of artificial neurons represents a location of the first user during a first time, wherein the second user device reduces the time and location data for the second user around a second plurality of artificial neurons, wherein each of the second plurality of artificial neurons represents a location of the second user during a second time; and means for transmitting, by the first user device, the reduced time and location data for the first user to a server, wherein the second user device transmits the reduced time and location data for the second user to the server, wherein the server determines whether or not the first user and the second user are related based on determining that the first user and the second user have an artificial neuron in common among the first plurality of artificial neurons and the second plurality of artificial neurons. 18. The apparatus of claim 17, wherein the location data for the first user comprises audio signatures indicating a proximity of the first user device to the second user device. 19. The apparatus of claim 17, wherein the server determines transition distances for the first user and the second user based on the time and location data for the first user and the second user, wherein a transition distance represents a number of times a user device transitioned from one location to another location. 20. The apparatus of claim 17, wherein the server determines global positioning system (GPS) distances for the first user and the second user based on the time and location data for the first user and the second user, a GPS distance representing a physical distance between a first location of a user and a second location of the user. 21. The apparatus of claim 17, wherein the server maps the first user and the second user to the first plurality of artificial neurons and the second plurality of artificial neurons to which time and location data for that user was assigned. 22. The apparatus of claim 21, wherein the server determines whether the first user and the second user are related based further on the mapping. 23. The apparatus of claim 17, wherein the server infers social characteristics of the first user based on a number of determined relationships of the first user. 24. The apparatus of claim 17, wherein the means for receiving receives the time and location data for the first user over a period of days. 25. A non-transitory computer-readable medium for deriving relationships from overlapping time and location data, comprising: at least one instruction for receiving, at a first user device, time and location data for a first user, the time and location data for the first user representing locations of the first user over time, wherein a second user device receives time and location data for a second user, the time and location data for the second user representing locations of the second user over time; at least one instruction for reducing, at the first user device, the time and location data for the first user around a first plurality of artificial neurons, wherein each of the first plurality of artificial neurons represents a location of the first user during a first time, wherein the second user device reduces the time and location data for the second user around a second plurality of artificial neurons, wherein each of the second plurality of artificial neurons represents a location of the second user during a second time; and at least one instruction for transmitting, by the first user device, the reduced time and location data for the first user to a server, wherein the second user device transmits the reduced time and location data for the second user to the server, wherein the server determines whether or not the first user and the second user are related based on determining that the first user and the second user have an artificial neuron in common among the first plurality of artificial neurons and the second plurality of artificial neurons. 26. The non-transitory computer-readable medium of claim 25, wherein the location data for the first user comprises audio signatures indicating a proximity of the first user device to the second user device. 27. The non-transitory computer-readable medium of claim 25, wherein the server determines transition distances for the first user and the second user based on the time and location data for the first user and the second user, wherein a transition distance represents a number of times a user device transitioned from one location to another location. 28. The non-transitory computer-readable medium of claim 25, wherein the server maps the first user and the second user to the first plurality of artificial neurons and the second plurality of artificial neurons to which time and location data for that user was assigned. 29. The non-transitory computer-readable medium of claim 25, wherein the server infers social characteristics of the first user based on a number of determined relationships of the first user. 30. The non-transitory computer-readable medium of claim 25, wherein the time and location data for the first user is received over a period of days.