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Method and device for abnormal analysis of user group message dissemination based on social network

A user group and social network technology, applied in the field of abnormal information dissemination analysis of user groups, can solve problems such as inability to study the system, and achieve the effect of intuitive and simple algorithm, high accuracy, and flexible form

Active Publication Date: 2022-06-03
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

Traditional modeling and analysis methods cannot study such systems

Method used

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  • Method and device for abnormal analysis of user group message dissemination based on social network
  • Method and device for abnormal analysis of user group message dissemination based on social network
  • Method and device for abnormal analysis of user group message dissemination based on social network

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] Step 5. According to the abnormal sample, it is determined that there is an abnormal message propagation in the user group where it is located.

[0060] Input: [group ID: group_id, time range: {start_time, end_time}]

[0061] Output: [the set of messages published by all users in the group: group_message_sequence]

[0065] Step 14, the message set group_message_sequence obtained will be returned together with this group_id.

[0067] Input: [group message set: group_message_sequence, time range: {start_time, end_

[0068] Output: [the number of messages that the group publishes in each hour: hour_message_count_sequence]

[0074] Output: [sample set: sample_sequence]

[0081] Step 37, according to the month in the date information, obtain the current seasonal feature where the information record is located. judge the

[0089] Input: [sample_sequence]

[0090] Output: [Outlier point set]

[0094] The following are system embodiments corresponding to the above-mentioned method ...

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Abstract

The present invention relates to a method and device for abnormal analysis of user group message dissemination based on a social network, comprising: obtaining historical chat records of user groups in an online social network, and obtaining historical chat records of users within the time span according to a preset time span The messages published by all users in the group are regarded as a message set; for the message set, the total number of messages published by the user group in each time range is counted according to the preset time range; the feature extraction method based on time series correlation is used for each Extract the characteristics of the total number of messages, and set the extraction results into a sample set; cluster the sample set according to the total number of messages and use a clustering algorithm to generate an abnormal sample; judge that there are messages in the user group according to the abnormal sample. Propagate exception. Therefore, the present invention can cope with the phenomenon of data flooding, and at the same time, the algorithm is intuitive and simple, the accuracy rate is higher, and the present invention has a wide range of application scenarios.

Description

A method and device for analyzing abnormality of user group message dissemination based on social network technical field The present invention relates to the technical field of social media and big data, particularly a kind of user group based on social network A message propagation anomaly analysis method and device. Background technique [0002] In recent years, social networking online services such as social networking, social media, and e-commerce have developed rapidly. Tired of a large amount of large-scale user social network message data. The number of registered users of Sina Weibo exceeds 600 million, consisting of individual Weibo Many are based on groups of a certain size with common interests. These groups will often publish Weibo messages, facing the Internet Network big data business departments and network big data-based business systems have also collected and accumulated massive amounts of Weibo messages. according to. The storage, organization...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06F16/2458G06Q50/00
CPCG06Q50/01
Inventor 李雄刘春阳赵志云张旭庞琳王萌王卿张静乐沈华伟
Owner NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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