Social Media Analysis for Network Service Problem Detection
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Solution Overview
Problem
Service providers face challenges in identifying and addressing network issues from a customer's perspective, as existing monitoring systems may not capture real-time customer feedback, leading to potential damage to the customer-service provider relationship despite apparent network element functionality.
Innovation Solution
A method that utilizes social media data analysis to detect trends indicating service problems, correlates these trends with operational network parameters, and adjusts these parameters to improve service performance, incorporating tools like application servers, analysis engines, and data storage to gather and analyze social media posts for real-time feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If batch data from network elements is analyzed for monitoring, then network element functionality can be verified, but real-time customer experience issues cannot be detected
Solution Approach 1:
The patent introduces social media data as an intermediary source that bridges the gap between network element technical status and actual customer experience. By monitoring social media platforms for customer complaints and feedback, the system captures real-time service quality information that batch network element data fails to reveal, thus recovering the lost customer experience information.
Solution Approach 2:
The system implements a feedback mechanism by continuously monitoring social media platforms for customer sentiments and complaints about network services. This external feedback loop provides real-time information about service quality issues that are not detectable through internal network element monitoring alone, enabling the system to respond to actual customer experiences rather than just technical parameters.
2Measurement precision
If traditional network monitoring systems are used, then network element status can be tracked, but customer perspective problems remain undetected
Solution Approach 1:
The patent adds a new dimension to network monitoring by incorporating external social media data sources alongside traditional internal network element data. This multi-dimensional approach combines technical performance metrics with customer sentiment analysis, enabling comprehensive monitoring that captures both network element status and customer experience perspectives simultaneously.
3Loss of information
If social media data analysis is implemented, then real-time customer feedback can be detected, but system complexity increases
Solution Approach 1:
The patent creates a multi-functional monitoring system that simultaneously processes traditional network element data and social media data through integrated analysis modules. The system performs multiple functions including technical performance monitoring, customer sentiment analysis, trend detection, and automated correlation between social media complaints and network parameters, reducing the need for separate specialized systems.
Data Source
AI summary
A method, computer-readable storage device and apparatus for addressing a problem in a network using social media are disclosed. For example, the method receives social media data, analyzes the social media data to detect a trend for a service provided by the communication network, wherein the trend indicates a problem with the service, correlates an operational parameter of the communication network providing the service to the problem with the service and adjusts the operational parameter of the communication network to address the problem.