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Detecting method and device for zombie users of social networks

A zombie user and social network technology, applied in the field of user behavior classification and counting, it can solve problems such as destroying community principles, poor guidance, and inability to effectively detect social network zombie users, so as to eliminate fan behavior interference, prevent false popularity, overcome hysteresis effect

Inactive Publication Date: 2013-02-27
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existence of zombie fans interferes with the service provider's user behavior analysis and popular interest recommendation services, and cannot provide users with a satisfactory service experience
For users, it destroys the community principle of majority choice, and it is a kind of deception and bad guidance for users
What's more detrimental is that some users may use zombie fans to post some bad information. If such behavior is not stopped, the social harm caused may be huge
[0005] In the process of realizing the present invention, the inventor found that there is no effective automatic detection scheme for zombie users in social networks in the prior art, which cannot effectively detect zombie users in social networks, which brings difficulties to the management of social networks. great inconvenience

Method used

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  • Detecting method and device for zombie users of social networks
  • Detecting method and device for zombie users of social networks
  • Detecting method and device for zombie users of social networks

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Such as figure 1 As shown, the flow chart of the method for detecting social network zombie users provided by this embodiment is as follows:

[0045] Step 10, extracting the items and information released by the detected user within the set time period.

[0046] For the detection of zombie users in social networks, it is first necessary to set the detected users. Of course, it is also possible to screen all users in the social network. For the detected user, it is also necessary to set the user behavior within a period of time, and determine whether the user is a zombie user by analyzing the user behavior within this period of time. Usually this setting time can be set according to needs, and the setting time needs to be long enough to obtain enough data to judge whether the user behavior conforms to the behavior habits of zombie users.

[0047] The items and information posted by the user usually need to include the messages posted by the user in the personal space ...

Embodiment 2

[0088] see image 3 , the embodiment of the present invention provides a social network zombie user detection device, the device includes a user behavior collection unit 100, a coarse-grained processing unit 200 and a fine-grained processing unit 300, specifically as follows:

[0089] The user behavior collection unit 100 is configured to extract items and information published by the detected user within a set time period.

[0090] The user behavior collection unit 100 is used to extract and store all the entries and information of the personal space home pages of all detected users within a certain period of time.

[0091] The coarse-grained processing unit 200 is configured to analyze entries and information according to the behavior attributes and characteristics of zombie users, and classify users who meet the behavior attributes and characteristics of zombie users as suspected zombie users.

[0092] The coarse-grained processing unit 200 describes and represents each us...

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Abstract

The invention discloses a detecting method for zombie users of social networks, comprising the following steps of: extracting items and information distributed by detected users in a predetermined time period; analyzing the items and the information according to behavior properties and characteristics of the zombie users, and classifying the users according with the behavior properties and the characteristics of the zombie users as suspected zombie users; and performing the semantic analysis for the suspected zombie users according to the items and the information, and classifying the users according with the semantic features of the zombie users as the zombie users. The effectively automatic detecting method for the zombie users of the social networks provided by the invention can conveniently and accurately detect the zombie users in the social networks to guarantee the original service intention of the social networks, so that network communities and information distribution communication platforms capable of reflecting collective intelligence and group hotspots are built.

Description

technical field [0001] The invention relates to the field of classification and counting of user behaviors, in particular to a method and device for detecting social network zombie users. Background technique [0002] With the development of the Internet, the current user classification and user behavior analysis technology based on log analysis of various web applications has become very mature. A large number of Internet users are active at the top layer of the network structure, obtaining information and performing behaviors in various application services. The development of web technology has made network services increasingly rich and diverse, from the initial basic and limited service types such as sending and receiving e-mails and browsing static web pages, to a wide variety of application services and Internet experience in the web2.0 era. On the basis of user-interactive dynamic web page technology, the emergence of e-commerce and various online communities has ma...

Claims

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Application Information

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IPC IPC(8): H04L12/26
Inventor 苏伟张宏科赵佳郝增勇高伟王凯
Owner BEIJING JIAOTONG UNIV
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