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Community detection method based on block chain social platform

A social platform and detection method technology, applied in data processing applications, instruments, calculations, etc., can solve problems such as unimaginable consequences

Active Publication Date: 2019-07-12
上海七印信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The data of traditional social networks are stored on the servers of the platform side. As early as 2012, Data Center Knowledge estimated that Facebook had a total of 180,000 servers. If these servers were attacked, the consequences would be unimaginable

Method used

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  • Community detection method based on block chain social platform
  • Community detection method based on block chain social platform
  • Community detection method based on block chain social platform

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Experimental program
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Embodiment Construction

[0032] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific illustrations.

[0033] see figure 1 , shown in the figure is a community detection method based on the blockchain social platform, including the following steps:

[0034] In step S10, all user addresses and their transfer information on the blockchain social platform are obtained, and a directed graph of transfer relations is established according to the transfer relations between each user address. Among them, the directed graph of the transfer relationship is composed of several vertices and several directed edges. All user addresses are used as the vertices in the directed graph of the transfer relationship. If user address A has a transfer record to user address B, then in the user address A directed edge is generated between the vertex corresponding to A ...

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Abstract

The invention discloses a community detection method based on a block chain social platform, and the method comprises the following steps: 1, obtaining all user addresses and account transfer information of the user addresses on the block chain social platform, and building an account transfer relation digraph according to the account transfer relation among the user addresses; 2, finding out abnormal points and / or abnormal paths appearing in the transfer relation directed graph, and confirming abnormal user information with abnormal transfer behaviors according to the found abnormal points and / or abnormal paths; 3, acquiring operation information of all users on the block chain social platform; 4, performing clustering analysis on the acquired operation information according to the time dimension, and searching for outlier user information which is greatly different from the normal behavior mode; and 5, aggregating the abnormal user information and the outlier user information in a weighted summation manner to obtain non-real user information and / or user information with low activeness. The abnormal behavior of the user is effectively and reasonably detected so as to judge the authenticity and effectiveness of the user.

Description

technical field [0001] The invention relates to the technical field of blockchain social platforms, in particular to a community detection method based on blockchain social platforms. Background technique [0002] In the PC era and mobile Internet era, community detection methods are usually used to detect the authenticity and effective activity of users on social platforms. At present, community detection methods are mainly based on captured user device hardware information and software usage. information. Among them, the device hardware information mainly includes the user's network device address, IP address, device serial number, etc.; the software usage information is determined by the specific software used by the user, generally including the user's login information, usage records, etc. After obtaining this information through certain means, a data model for user analysis is established based on domain knowledge, so as to quantitatively judge the authenticity and ef...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00G06K9/62
CPCG06Q50/01G06F18/23Y02D10/00
Inventor 毛苇
Owner 上海七印信息科技有限公司
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