Methods and systems for correlating connections between users and links between articles
First Claim
1. A computer-implemented method comprising:
- identifying, with one or more processors, a first connection between a first user and a second user in a social network and a second connection between the first user and a third user in the social network, each of the first and second connections including an association type and a degree of separation that identifies a fewest number of common characteristic associations separating the users;
applying, with the one or more processors, a first association weight to the first connection that is higher than a second association weight applied to the second connection based on at least one of the association type and the degree of separation;
identifying, with the one or more processors, the first user as a first administrator of a first article, the first article comprising a first link to a second article;
identifying, with the one or more processors, that the second user and the third user access the first article;
identifying, with the one or more processors, that the second user is a second administrator of the second article; and
determining, with the one or more processors, a first importance score for the first link based on the first association weight,wherein the higher association weight indicates that the first connection is more biased.
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Accused Products
Abstract
Methods and systems for correlating connections between users and links between articles to identify search and/or ad spamming are disclosed. Social networks can be used to identify connections between users for correlation with links between articles, which can be identified through searches of article contents and/or back tracing accesses to articles. One disclosed method comprises identifying first associations between a plurality of users in a network of associated users; identifying second associations between one or more users and one or more articles; identifying third associations between at least some of the articles or between some of the users and access to some of the articles; and determining at least one of the third associations is correlated with one or more of the first associations.
122 Citations
20 Claims
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1. A computer-implemented method comprising:
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identifying, with one or more processors, a first connection between a first user and a second user in a social network and a second connection between the first user and a third user in the social network, each of the first and second connections including an association type and a degree of separation that identifies a fewest number of common characteristic associations separating the users; applying, with the one or more processors, a first association weight to the first connection that is higher than a second association weight applied to the second connection based on at least one of the association type and the degree of separation; identifying, with the one or more processors, the first user as a first administrator of a first article, the first article comprising a first link to a second article; identifying, with the one or more processors, that the second user and the third user access the first article; identifying, with the one or more processors, that the second user is a second administrator of the second article; and determining, with the one or more processors, a first importance score for the first link based on the first association weight, wherein the higher association weight indicates that the first connection is more biased. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system comprising:
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one or more processors; a social network engine stored in a memory and executable by the one or more processors, the social network engine for identifying a first connection between a first user and a second user in a social network and a second connection between the first user and a third user in the social network, each of the first and second connection including an association type and a degree of separation that identifies a fewest number of common characteristic associations separating the users and for applying a first association weight to the first connection that is higher than a second association weight applied to the second connection based on at least one of the association type and the degree of separation; and a search engine executable by the one or more processors, the search engine for identifying the first user as a first administrator of a first article, the first article comprising a first link to a second article, identifying that the second user and the third user access the first article, identifying that the second user is a second administrator of the second article and determining a first importance score for the first link based on the first association weight, wherein the higher association weight indicates that the first connection is more biased. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A non-transitory computer program product comprising a computer useable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:
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identify a first connection between a first user and a second user in a social network and a second connection between the first user and a third user in the social network, each of the first and second connection including an association type and a degree of separation that identifies a fewest number of common characteristic associations separating the users; apply a first association weight to the first connection that is higher than a second association weight applied to the second connection based on at least one of the association type and the degree of separation; identify the first user as a first administrator of a first article, the first article comprising a first link to a second article; identify that the second user and the third user access the first article; identify that the second user is a second administrator of the second article; and determine a first importance score for the first link based on the first association weight, wherein the higher association weight indicates that the first connection is more biased. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification