METHOD AND APPARATUS TO IDENTIFY OUTLIERS IN SOCIAL NETWORKS
First Claim
1. A method, comprising:
- reducing, by a system comprising a processor, a sampling size of a total population of on-line social network users based on a comparison of seed information to a population of the on-line social network users to obtain a reduced sampling of the on-line social network users;
generating a social network graph based on the reduced sampling of the on-line social network users;
comparing, by the system, the reduced sampling of the on-line social network users to the social network graph; and
identifying, by the system, an outlier in the reduced sampling of the on-line social network users based on relationships between the on-line social network users, and based on collateral information combined with an intra-graph property of the social network graph, wherein the outlier does not conform to the social network graph.
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Abstract
A system that incorporates teachings of the present disclosure may include, for example, a process that reduces a sampling size of a total population of on-line social network users based on a comparison of seed information to a population of on-line social network users. The reduced sampling of on-line social network users is compared to a social graph of the on-line social network users, wherein the social graph is obtained from an algorithm applied to the reduced sampling of the on-line social network users. An outlier is determined in the reduced sampling of on-line social network users based on relationships between the on-line social network users. The determining of the outlier is also based on one of ambient or publicly available information combined with an intra-graph property of the on-line social network users, wherein the outlier does not conform to the social graph. Additional embodiments are disclosed.
12 Citations
20 Claims
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1. A method, comprising:
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reducing, by a system comprising a processor, a sampling size of a total population of on-line social network users based on a comparison of seed information to a population of the on-line social network users to obtain a reduced sampling of the on-line social network users; generating a social network graph based on the reduced sampling of the on-line social network users; comparing, by the system, the reduced sampling of the on-line social network users to the social network graph; and identifying, by the system, an outlier in the reduced sampling of the on-line social network users based on relationships between the on-line social network users, and based on collateral information combined with an intra-graph property of the social network graph, wherein the outlier does not conform to the social network graph. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A device, comprising:
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a memory that stores executable instructions; and a processor coupled to the memory, wherein execution of the instructions by the processor facilitates performance of operations comprising; obtaining a reduced sampling of on-line social network users of a total population of on-line social network users based on a comparison of seed information to a population of on-line social network users; comparing the reduced sampling of on-line social network users to a social graph of on-line social network users determined from the total population of on-line social network users, wherein the social graph is obtained from an algorithm applied to an on-line social network of the on-line social network users; and identifying an outlier in the reduced sampling of on-line social network users based on relationships between the on-line social network users, and based on collateral information combined with an intra-graph property of the social graph, wherein the outlier does not conform to the social graph. - View Dependent Claims (8, 9, 10, 11, 12, 13)
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14. A machine-readable storage device, comprising executable instructions that, when executed by a processor, facilitate performance of operations comprising:
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reducing a sampling size of a total population of on-line social network users based on a comparison of seed information to a population of on-line social network users to obtain a reduced sampling of on-line social network users; comparing the reduced sampling of on-line social network users to a social graph of the on-line social network users, wherein the social graph is obtained from an algorithm applied to the reduced sampling of the on-line social network users; and determining an outlier in the reduced sampling of on-line social network users based on relationships between the on-line social network users, and based on one of ambient or publicly available information combined with an intra-graph property of the on-line social network users, wherein the outlier does not conform to the social graph. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification