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Social network analysis-based microblog swindling team mining method

A social network and social network technology, applied in the field of microblog fraud group mining based on social network analysis, can solve the problems of appearing corners and academic research monographs that have not yet been formed

Inactive Publication Date: 2017-04-26
贾志娟
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Because microblog is in full swing and the coverage of influence is constantly expanding, domestic and foreign literatures are discussing the positive role of microblog, or discussing the business issues in the environment of microblog, but for the moral demonstration and the existence of microblog There are not many documents on how to regulate, and no systematic academic research monographs have yet been formed, and it can only appear scattered in some academic papers

Method used

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  • Social network analysis-based microblog swindling team mining method
  • Social network analysis-based microblog swindling team mining method
  • Social network analysis-based microblog swindling team mining method

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings.

[0027] like figure 1 , 2 , 3, 4, the present invention comprises the following steps:

[0028] ①. Weibo data collection;

[0029] ②. Process the collected data;

[0030] ③. Fraud group social network analysis feature acquisition and text feature mining;

[0031] ④. Predict and evaluate fraudulent groups;

[0032] The microblog data collection in the step ① includes the following steps.

[0033] a. First simulate opening the browser and jump to the Weibo details page where the topic is located;

[0034] b. Obtain all the data information on the microblog details page through the Seleniu tool, and locate the forwarding and comments of the microblog by obtaining the DOM elements;

[0035] c. Temporarily save the data obtained by the crawler, and classify and process the data;

[0036] d. Save the processed data to the local database for use.

[0037] The data pro...

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Abstract

The invention discloses a social network analysis-based microblog swindling team mining method, and relates to the technical field of network security. The method comprises the following steps of (1), acquiring microblog data; (2), processing the acquired data; (3), obtaining swindling team social network analysis characteristics and mining text characteristics; and (4), predicting and assessing swindling teams. According to the social network analysis-based microblog swindling team mining method provided by the invention, potential swindling teams in microblogs can be assistantly mined, so that netizens and enterprises are prevented from being troubled by swindling information.

Description

technical field [0001] The invention relates to the technical field of network security, in particular to a mining method for microblog fraud groups based on social network analysis. Background technique [0002] In recent years, Internet technology has developed rapidly at home and abroad. Weibo, as an important social platform, [0003] It has been gradually integrated into people's daily life and has brought great changes to our life and habits. As a platform for information release and dissemination, Weibo has received more and more attention. Compared with traditional news media, Weibo provides a wider range of content topics, faster updates and dissemination, and a wider range of information providers. Netizens are keen to share their feelings and comment on current popular elements on Weibo. Discussing today's social hotspots and paying attention to one's own preferences brings considerable value to the data mining of Weibo, and at the same time makes the actions of...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q50/00
CPCG06F16/3346G06Q50/01
Inventor 贾志娟张玉周娜孔珊王宁
Owner 贾志娟
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