METHOD AND SYSTEM FOR SOCIAL NETWORK ANALYSIS
First Claim
1. A method comprising:
- accessing user interaction data associated with a plurality of users for a time period in a social commerce network;
performing network analysis, using one or more processors, on the user interaction data;
selecting a plurality of example users within the social commerce network, each of the plurality of example users being associated with reputation information;
generating a motif for the plurality of example users for the time period in accordance with the performing of the network analysis, a node of the motif being associated with a particular example user of the plurality of example users, the motif defining an expected relationship between the plurality of example users in the social commerce network;
distinguishing the node of the plurality of example users in accordance with the reputation information of a respective example user; and
utilizing the motif with a plurality of distinguished nodes for analysis of the social commerce network.
1 Assignment
0 Petitions
Accused Products
Abstract
Methods and system for social commerce network analysis are described. In one embodiment, user interaction data associated with users for a time period in a social commerce network is accessed and a network analysis is performed. Users within the social commerce network may be selected where each of the users is associated with reputation information. A motif for the users for the time period based on the network analysis may be generated. A node of the motif is associated with a particular user, and the motif defines an expected relationship between the users in the social commerce network. The node is distinguished based on the reputation information of the user. The motif may be used with a plurality of distinguished nodes for analysis of the social commerce network.
41 Citations
20 Claims
-
1. A method comprising:
-
accessing user interaction data associated with a plurality of users for a time period in a social commerce network; performing network analysis, using one or more processors, on the user interaction data; selecting a plurality of example users within the social commerce network, each of the plurality of example users being associated with reputation information; generating a motif for the plurality of example users for the time period in accordance with the performing of the network analysis, a node of the motif being associated with a particular example user of the plurality of example users, the motif defining an expected relationship between the plurality of example users in the social commerce network; distinguishing the node of the plurality of example users in accordance with the reputation information of a respective example user; and utilizing the motif with a plurality of distinguished nodes for analysis of the social commerce network. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. A non-transitory machine-readable medium comprising instructions, which when implemented by one or more processors perform operations comprising:
-
accessing user interaction data associated with a plurality of users for a time period in a social commerce network; performing network analysis, using the one or more processors, on the user interaction data; selecting a plurality of example users within the social commerce network, each of the plurality of example users being associated with reputation information; generating a motif for the plurality of example users for the time period in accordance with the performing of the network analysis, a node of the motif being associated with a particular example user of the plurality of example users, the motif defining an expected relationship between the plurality of example users in the social commerce network; distinguishing the node of the plurality of example users in accordance with the reputation information of a respective example user; and utilizing the motif with a plurality of distinguished nodes for analysis of the social commerce network. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
-
-
18. A method comprising:
-
accessing reputation information associated with a plurality of initiating users and a plurality of responding users in a social network for a time period; accessing interaction frequency data associated with the plurality of initiating users and the plurality of responding users for the time period; plotting an aggregated correlation between the plurality of initiating users and the plurality of responding users in accordance with the reputation information; differentiating, using one or more processors, the plotting of the aggregated correlation in accordance with the interaction frequency data; and utilizing the differentiated plotting of the aggregated correlation. - View Dependent Claims (19, 20)
-
Specification