Systems and methods for identifying entities using geographical and social mapping
First Claim
1. A computer-implemented method for identifying one or more entities associated with one or more activities, the method comprising:
- determining, by at least one processor configured to access at least one online social network, and from a plurality of locations associated with one or more online activities, one or more geographical regions proximate to the plurality of locations;
determining, from a system graph and by the at least one processor in communication with a special-purpose computer, connections between one or more identities of a population and a plurality of related entities associated with the one or more identities;
determining geographical information associated with the plurality of related entities;
weighting, by the at least one processor, one or more metrics for each of the one or more identities of the population based at least in part on the geographical information associated with the plurality of related entities and the one or more geographical regions proximate to the plurality of locations associated with the one or more activities, wherein the weighting the one or more metrics comprises applying a measure of common connections between the one or more identities and the plurality of related entities;
scoring, by a scoring unit in communication with the at least one processor, the one or more weighted metrics; and
providing, based on the scoring, an indication of a likelihood that the one or more identities of the population are associated with the one or more activities.
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Accused Products
Abstract
Embodiment of the disclosed technology include systems and methods for identifying one or more entities associated with activities. In an example implementation, a method includes determining one or more geographical regions proximate to the plurality of locations associated with the one or more activities; determining connections between one or more identities of a population and a plurality of related entities associated with the one or more identities; determining geographical information associated with related entities; weighting one or more metrics for each of the identities based on the geographical information associated with the related entities and the or more geographical regions proximate to the plurality of locations associated with the one or more activities; scoring the one or more weighted metrics; and providing, based on the scoring, an indication of a likelihood that the one or more identities of the population are associated with the one or more activities.
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Citations
20 Claims
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1. A computer-implemented method for identifying one or more entities associated with one or more activities, the method comprising:
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determining, by at least one processor configured to access at least one online social network, and from a plurality of locations associated with one or more online activities, one or more geographical regions proximate to the plurality of locations; determining, from a system graph and by the at least one processor in communication with a special-purpose computer, connections between one or more identities of a population and a plurality of related entities associated with the one or more identities; determining geographical information associated with the plurality of related entities; weighting, by the at least one processor, one or more metrics for each of the one or more identities of the population based at least in part on the geographical information associated with the plurality of related entities and the one or more geographical regions proximate to the plurality of locations associated with the one or more activities, wherein the weighting the one or more metrics comprises applying a measure of common connections between the one or more identities and the plurality of related entities; scoring, by a scoring unit in communication with the at least one processor, the one or more weighted metrics; and providing, based on the scoring, an indication of a likelihood that the one or more identities of the population are associated with the one or more activities. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system comprising:
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at least one memory for storing data and computer-executable instructions; and at least one processor configured to access the at least one memory and at least one online social network, and further configured to execute the computer-executable instructions to; determine, from a plurality of locations associated with one or more online activities, one or more geographical regions proximate to the plurality of locations; determine, from a system graph, and by the at least one processor in communication with a special purpose computer, connections between one or more identities of a population and a plurality of related entities associated with the one or more identities; determine geographical information associated with the plurality of related entities; weight, with the at least one processor, one or more metrics for each of the one or more identities of the population based at least in part on the geographical information associated with the plurality of related entities and the one or more geographical regions proximate to the plurality of locations associated with the one or more activities, wherein the weighting the one or more metrics comprises applying a measure of common connections between the one or more identities and the plurality of related entities; score, with the at least one processor, the one or more weighted metrics; and output, based on the scoring, an indication of a likelihood that the one or more identities of the population are associated with the one or more activities. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A non-transitory computer-readable medium that stores instructions which, when executed by at least one processor in a system, cause the system to perform a method comprising:
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determining, by at least one processor configured to access at least one online social network, and from a plurality of locations associated with one or more online activities, one or more geographical regions proximate to the plurality of locations; determining, from a system graph and by the at least one processor in communication with a special-purpose computer, connections between one or more identities of a population and a plurality of related entities associated with the one or more identities; determining geographical information associated with the plurality of related entities; weighting, by the at least one processor, one or more metrics for each of the one or more identities of the population based at least in part on the geographical information associated with the plurality of related entities and the one or more geographical regions proximate to the plurality of locations associated with the one or more activities, wherein the weighting the one or more metrics comprises applying a measure of common connections between the one or more identities and the plurality of related entities; scoring, by a scoring unit in communication with the at least one processor, the one or more weighted metrics; and providing, based on the scoring, an indication of a likelihood that the one or more identities of the population are associated with the one or more activities. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification