Heterogeneous Network Convergence for Online Offline Data Integration
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Solution Overview
Problem
Existing data processing technologies face challenges in effectively integrating and analyzing online and offline information due to lossy data representation in unary information spaces, leading to incomplete understanding of user features and interactions.
Innovation Solution
A network convergence method that constructs a multi-heterogeneous network by combining online information from network data with offline information from mobile communication data, using associations between accounts and terminal identifiers to create a converged heterogeneous space where nodes are comparable across dimensions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If online information is processed in a unary information space, then data processing is simplified, but information loss occurs and user feature understanding becomes incomplete
Solution Approach 1:
The patent transitions from a unary information space to a multi-dimensional heterogeneous network space. Online information (accounts, network media) and offline information (terminal identifiers, location data) are integrated into different network layers that are then converged through association relationships, creating a multi-dimensional representation that preserves information while enabling comprehensive analysis.
2Loss of information
If online and offline information are integrated into a heterogeneous network, then information completeness is improved, but system complexity increases
Solution Approach 1:
The patent segments the information integration process into distinct components: an online information network constructed from accounts and network media information, and an offline information network constructed from terminal identifiers and location information. These segmented networks are then converged through defined association relationships, managing complexity through structured decomposition.
Solution Approach 2:
The patent introduces association relationships as intermediaries that connect online and offline information networks. These associations serve as mediators that enable integration of heterogeneous data sources without requiring direct complex interactions between all elements, thus managing system complexity while achieving information completeness.
3Adaptability or versatility
If multiple data sources are converged, then user feature analysis capability is enhanced, but data processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-converging online and offline information into a heterogeneous network structure with established association relationships. This pre-processing creates a ready-to-use integrated data framework that enables faster subsequent analysis operations, as the complex integration work is completed in advance rather than during each analysis task.
Data Source
AI summary
A network convergence method and device, an electronic apparatus, a storage medium are provided. The method includes: taking online information obtained at least from network data as first nodes, and constructing a first network with the first nodes based on an association among the online information, the online information including at least one account and at least one piece of network media information; taking offline information obtained at least from mobile communication data as second nodes, and constructing a second network with the second nodes based on an association among the offline information, the offline information including at least one terminal identifier and location information of a terminal corresponding to the at least one terminal identifier; and converging the first network and the second network by using an association between the account in the online information and the terminal identifier in the offline information, to construct a heterogeneous network.