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Multi-association mining method and device based on social network

A social network, multiple technologies, applied in the Internet field, can solve problems such as difficulty reflecting real user network interaction, incompleteness, single point-to-point analysis, etc.

Inactive Publication Date: 2016-05-11
NO 15 INST OF CHINA ELECTRONICS TECH GRP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can truly reflect the relationship between users, but it is not complete. It focuses more on the analysis of a specific application in social networks, and lacks strong support for comprehensive analysis of multiple applications.
Another analysis method is the node traversal statistical method. The node traversal statistical method adopts the simultaneous concurrent mechanism of multiple nodes, that is, all nodes push the traversal information in parallel, restores the point-to-point virtual account interaction track, and solves the needs of social networks. The problem of traversing the data through multiple iterations reduces the time complexity of the analysis. However, with the increasing number of network applications, it is increasingly difficult to reflect the real user network interaction through a single analysis of point-to-point network interaction. This method uses increasingly limited

Method used

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  • Multi-association mining method and device based on social network
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  • Multi-association mining method and device based on social network

Examples

Experimental program
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Effect test

no. 1 example

[0047] In the first embodiment of the present invention, a method for mining multiple associations based on a social network, such as figure 1 shown, including the following specific steps:

[0048] Step S101: For a virtual person with a known Internet account, use an associative algorithm to dig out other Internet accounts of the virtual person in the Internet;

[0049] Specifically, in step S101, use the associative algorithm to dig out other Internet accounts of the virtual person in the Internet, specifically including:

[0050] According to the known Internet account of the virtual person, find the online time, offline time and IP address of the known Internet account in the Internet, and use it within the time period from the online time to the offline time. other Internet accounts at the IP address; or,

[0051] According to the login password when the virtual person uses the known Internet account, find other Internet accounts using the login password in the Internet...

no. 2 example

[0066] In the second embodiment of the present invention, a method for mining multiple associations based on a social network, such as figure 2 shown, including the following specific steps:

[0067] Step S201: For the virtual person p1 with the known email account e1, use the associative algorithm to dig out other Internet accounts of the virtual person p1 in the Internet; associate the Email account e1, IM account i1 and SNS account s1 with the virtual person p1 ;

[0068] Specifically, the step S201 specifically includes:

[0069] Step D1: Create a virtual person p1 using a known email account e1 based on the known email account e1;

[0070] Step D2: use the associative algorithm to dig out other Internet accounts of the virtual person p1 in the Internet;

[0071] Step D3: According to the application types of all the Internet accounts of the virtual person p1, divide all the Internet accounts of the virtual person p1 into three categories: IM (InstantMessage, real-time...

no. 3 example

[0095] The third embodiment of the present invention, corresponding to the first embodiment, introduces a device for mining multiple associations based on social networks, such as image 3 shown, including the following components:

[0096] 1) Virtual identity connection mining module 301: for a virtual person with a known Internet account, using an associative algorithm to mine other Internet accounts of the virtual person in the Internet;

[0097] Specifically, the virtual identity contact mining module 301 is specifically used for:

[0098] According to the known Internet account of the virtual person, find the online time, offline time and IP address of the known Internet account in the Internet, and use it within the time period from the online time to the offline time. Other Internet accounts of the IP address; or, according to the login passwords when the virtual person uses known Internet accounts, find other Internet accounts using the login passwords in the Internet. ...

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Abstract

The invention provides a multi-association mining method and device based on a social network. The method includes the steps of: for virtual humans having a known Internet account number, utilizing an association algorithm to mine other Internet account numbers of the virtual humans in the Internet; through a multi-identity association algorithm, processing all the Internet account numbers of the virtual humans, thereby obtaining a first-degree association result set of each Internet account number of the virtual humans; through a deep relation analysis algorithm, processing each first-degree association result set, thereby obtaining one or more important contacts of each first-degree association result set and an important contact account number set of each important contact; and for the important contact account number set of each important contact, utilizing a multi-association weighting algorithm to obtain a multi-association weighted value of each important contact. The method provided by the invention makes a quantitative analysis of connection between the virtual humans in the Internet, thereby showing the closeness of the connection between the virtual humans.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method and device for mining multiple associations based on a social network. Background technique [0002] Social networks have a large number of users scattered all over the world, but these massive users will naturally aggregate based on some common hobbies, purposes or certain associations to form various groups. Members in a group generally have multiple network identities, and they can utilize multiple identities to use various social networking applications to establish contact with other members of the group and form a specific social network. How to dig out the association relationship between members of a specific group, and obtain the strength and weakness of the relationship through quantitative analysis, has become an important aspect of social network analysis. At present, the methods for analyzing the strength and weakness of social network associations are...

Claims

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Application Information

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IPC IPC(8): H04L12/24
Inventor 代启亮陈雪松安洋李海静张养辉
Owner NO 15 INST OF CHINA ELECTRONICS TECH GRP
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