Short message management and control service system and method based on 5G communication

Abstract

The invention relates to the field of short message management and control, and discloses a short message management and control service system and method based on 5G communication, the management and control service system comprises a data acquisition module, a link analysis engine, a social graph manager, a control strategy module and a user interface and report generator; according to the short message management and control service system and method based on 5G communication, through accurate link analysis and social graph updating, the propagation speed and range of rumors are remarkably reduced, through the updated NLP model and cross-platform data fusion, the false alarm rate and the misjudgment rate are remarkably reduced, and through timely rumor refuting and public education, the short message management and control service system and method based on 5G communication are provided. Social panic caused by rumors is effectively inhibited, and effectiveness and timeliness of monitoring and control are continuously improved based on dynamic data analysis results.

Description

Technical Field

[0001] The present invention relates to the field of SMS control, and more specifically, to a SMS message control service system and method based on 5G communication. Background Art

[0002] With the rapid development of 5G technology, communication services are undergoing profound changes. Among them, SMS service, as one of the core functions of mobile communications, benefits from the advantages of 5G in transmission speed, low latency and large-capacity connection, presenting a new application prospect.

[0003] However, in the 5G environment, SMS forwarding is fast and has a wide range. It is very important to quickly control and track some false information SMS. Especially now that there are many information dissemination platforms, how to control the cross-platform forwarding of SMS information is even more important. However, such control service systems are still relatively rare. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a text message management and control service system and method based on 5G communication.

[0005] A short message control service system based on 5G communication, including a data acquisition module, a link analysis engine, a social graph manager, a control strategy module, and a user interface and report generator; Data collection module: used for cross-platform data collection and supports real-time updates; Link analysis engine: analyzes information propagation paths, cross-platform flows, and bridge nodes; Social Graph Manager: responsible for dynamically updating and maintaining multi-platform social network graphs; Control strategy module: generates and executes information control instructions, responsible for real-time rumor-refuting information release; User Interface and Report Generator: Provides real-time feedback and regular reporting.

[0006] A short message management and control service method based on 5G communication includes the following steps: S1: Data collection and preprocessing; Get access to structured and unstructured data across platforms.

[0007] S2: Link analysis; Determine the information propagation path and identify the propagation nodes between different platforms.

[0008] S3: social graph update; Update social network graphs in real time and track dynamic communication paths; S4: Multi-platform collaborative control; Develop a unified cross-platform information control strategy.

[0009] Preferably: in step S1, firstly obtain relevant SMS and social media data from different platforms, then perform data cleaning and format standardization, and finally use natural language processing (NLP) to perform text keyword extraction and content recognition.

[0010] Preferably: SMS and social media data includes cross-platform message metadata, message content data, and social graph data.

[0011] Preferably: the cross-platform message metadata includes the sender, receiver, timestamp and platform identifier.

[0012] Preferably: the message content data includes text content and a summary containing image or video additional information, and the message content data extracts key information through natural language processing and visual analysis.

[0013] Preferably: social graph data includes connection information of users and messages on different platforms, representing possible paths for information flow.

[0014] Preferably: in step S2, first, a link model of the propagation path is constructed, and the probability of information transfer between different platforms is analyzed by a multivariate regression model to identify bridge nodes and the criticality of their propagation.

[0015] Preferably: in step S3, a graph convolutional network (GCN) is used to iteratively calculate the importance of social network nodes, and the propagation graph is updated to identify and warn of possible diffusion paths.

[0016] Preferably: in step S4, control instructions are generated based on the link analysis and graph update results, rumor-refuting information is distributed in real time, users are guided to identify false information, and message filtering and access control of high-risk propagation nodes are implemented.

[0017] The beneficial effects of the SMS message control service system and method based on 5G communication proposed by the present invention are: Real-time suppression of false information across platforms: Through precise link analysis and social graph updates, the speed and scope of false information spread can be significantly reduced.

[0018] Improve detection accuracy: Significantly reduce false alarm and misjudgment rates through updated NLP models and cross-platform data fusion.

[0019] Reduce impact: through timely explanation and education.

[0020] Data-driven strategy optimization: Relying on dynamic data analysis results, continuously improve the effectiveness and timeliness of monitoring and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1It is a module schematic diagram of a short message management and control service system based on 5G communication of the present invention. DETAILED DESCRIPTION

[0022] The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that the discussion of these embodiments is only to enable those skilled in the art to better understand and implement the subject matter described herein, and the functions and arrangements of the elements discussed may be changed without departing from the scope of protection of the contents of this specification. Each example may omit, replace or add various processes or components as needed. In addition, the features described relative to some examples may also be combined in other examples. Example 1

[0023] In this embodiment, a short message management and control service system based on 5G communication is proposed, including a data acquisition module, a link analysis engine, a social graph manager, a control strategy module, and a user interface and report generator; Data collection module: used for cross-platform data collection and supports real-time updates; Link analysis engine: analyzes information propagation paths, cross-platform flows, and bridge nodes; Social Graph Manager: responsible for dynamically updating and maintaining multi-platform social network graphs; Control strategy module: generates and executes information control instructions, responsible for real-time rumor-refuting information release; User Interface and Report Generator: Provides real-time feedback and regular reporting. Example 2

[0024] In this embodiment, a short message management and control service method based on 5G communication is proposed, including the following steps: S1: Data collection and preprocessing; Get access to structured and unstructured data across platforms.

[0025] First, relevant SMS and social media data are obtained from different platforms, then data cleaning and format standardization are performed, and finally natural language processing (NLP) is used to extract text keywords and identify content.

[0026] The SMS and social media data include cross-platform message metadata, message content data and social graph data.

[0027] Cross-platform message metadata includes sender, receiver, timestamp and platform identifier Message content data includes text content and summaries containing additional information such as images or videos. Message content data extracts key information through natural language processing and visual analysis.

[0028] Social graph data includes connection information of users and messages on different platforms, representing possible paths for information flow.

[0029] S2: Link analysis; Determine the information propagation path and identify the propagation nodes between different platforms.

[0030] First, a link model of the propagation path is constructed.

[0031] The probability of information transfer between different platforms was analyzed through multivariate regression model;

[0032] in, is the feature vector, is the coefficient vector.

[0033] Identify bridge nodes and their criticality for propagation.

[0034] S3: social graph update; Update social network graphs in real time and track dynamic communication paths.

[0035] Use graph convolutional networks (GCN) to iteratively calculate the importance of social network nodes.

[0036] in, is the adjacency matrix, is the degree matrix, For the Layer feature representation, is a trainable weight matrix.

[0037] Updated transmission maps to identify and warn of possible spread paths; S4: Multi-platform collaborative control; Develop a unified cross-platform information control strategy.

[0038] Generate control instructions based on link analysis and graph update results, distribute rumor-refuting information in real time, guide users to identify false information, implement message filtering and access control of high-risk transmission nodes The above describes an embodiment of the present invention, but this embodiment is not limited to the above specific implementation methods. The above specific implementation methods are merely illustrative and not restrictive. Under the guidance of this embodiment, ordinary technicians in this field can also make many forms, all of which are protected by this embodiment.

Claims

1. A short message control service system and method based on 5G communication, characterized in that: It includes data acquisition module, link analysis engine, social graph manager, control strategy module and user interface and report generator; Data collection module: used for cross-platform data collection and supports real-time updates; Link analysis engine: analyzes information propagation paths, cross-platform flows, and bridge nodes; Social Graph Manager: responsible for dynamically updating and maintaining multi-platform social network graphs; Control strategy module: generates and executes information control instructions, responsible for real-time rumor-refuting information release; User Interface and Report Generator: Provides real-time feedback and regular reporting.

2. A SMS message management and control service method based on 5G communication, characterized in that: The steps include: S1: Data collection and preprocessing; Capture structured and unstructured data across platforms; S2: Link analysis; Determine the information propagation path and identify the propagation nodes between different platforms; S3: social graph update; Update social network graphs in real time and track dynamic communication paths; S4: Multi-platform collaborative control; Develop a unified cross-platform information control strategy.

3. The SMS message management and control service method based on 5G communication according to claim 2 is characterized in that: In step S1, relevant SMS and social media data are first obtained from different platforms, then data cleaning and format standardization are performed, and finally natural language processing (NLP) is used to perform text keyword extraction and content identification.

4. The SMS message management and control service method based on 5G communication according to claim 3 is characterized in that: SMS and social media data includes cross-platform message metadata, message content data, and social graph data.

5. The SMS message management and control service method based on 5G communication according to claim 4 is characterized in that: Cross-platform message metadata includes sender, receiver, timestamp, and platform identifier.

6. The SMS message management and control service method based on 5G communication according to claim 4 is characterized in that: Message content data includes text content and summaries containing additional information such as images or videos. Message content data extracts key information through natural language processing and visual analysis.

7. The SMS message management and control service method based on 5G communication according to claim 4 is characterized in that: Social graph data includes connection information of users and messages on different platforms, representing possible paths for information flow.

8. The SMS message management and control service method based on 5G communication according to claim 1, characterized in that: In step S2, first, a link model of the propagation path is constructed, and the probability of information transfer between different platforms is analyzed through a multivariate regression model to identify the bridge nodes and the criticality of their propagation.

9. The SMS message management and control service method based on 5G communication according to claim 1, characterized in that: In step S3, a graph convolutional network (GCN) is used to iteratively calculate the importance of social network nodes and update the propagation graph to identify and warn of possible diffusion paths.

10. The SMS message management and control service method based on 5G communication according to claim 1, characterized in that: In step S4, control instructions are generated based on the link analysis and graph update results, rumor-refuting information is distributed in real time, users are guided to identify false information, and message filtering and access control of high-risk propagation nodes are implemented.

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