Method and system for social network analysis

Inactive Publication Date: 2009-03-12
EBAY INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Specifically, where a particular seller has authored and/or published a large number of listings, the management of such listings may present a challenge.

Method used

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  • Method and system for social network analysis
  • Method and system for social network analysis
  • Method and system for social network analysis

Examples

Experimental program
Comparison scheme
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Example

[0149]FIGS. 24-26 are diagrams of example differentiated plottings 2400, 2500, 2600. The differentiated plottings 2400, 2500, 2600 are example representations of differentiated plottings that may be plotted in accordance with the method 2200 and / or the method 2300. However, other representations of the differentiated plottings may also be used.

[0150]The differentiated plottings 2400, 2500, 2600 plot the aggregated correlation between initiating users' reputation information (e.g., sellers' feedback scores) and receiving users' reputation information (e.g., buyers' feedback scores).

[0151]The x axis of the differentiated plottings 2400, 2500, 2600 denotes users' reputation information, and the y axis denotes receiving users reputation information. The axes of the differentiated plottings 2400, 2500, 2600 may be logarithmically binned.

[0152]The differentiation on the differentiated plottings 2400, 2500, 2600 based on interaction frequency data may be color. For example, a score of zero

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PUM

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Abstract

Methods and system for social network analysis are described. In one embodiment, a strongly connected component value, an in-component value, an out-component value, a disconnected component value, a tendril value, and a tube value of a social network for a time period may be accessed. A social strength of the social network for the time period may be calculated by combining the strongly connected component value, the in-component value, the out-component value, the disconnected component value, the tendril value, and the tube value. The social strength of the social network for the time period may be utilized for analysis of the social network. The strongly connected component value may have a greatest weight and the disconnected component value may have the lowest weight in the combining.

Description

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Claims

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Application Information

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Owner EBAY INC
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