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Big social data provenance framework for Zero-Information Loss Key-Value Pair (KVP) Database.

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Summary

This study introduces a Big Social Data Provenance (BSDP) framework to track social media data origins. The framework efficiently captures, stores, and queries provenance information for large datasets, ensuring data integrity.

Keywords:
Big social dataData provenanceProvenance generationQuerying provenanceSocial mediaZero-information loss database

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Area of Science:

  • Computer Science
  • Data Science
  • Information Science

Background:

  • Social media facilitates large-scale information sharing, creating challenges in determining digital content's origin and transformations.
  • Understanding social data provenance is crucial for verifying the lifecycle of information disseminated across vast networks.

Purpose of the Study:

  • To present a Big Social Data Provenance (BSDP) framework for key-value pair (KVP) databases.
  • To introduce the Zero-Information Loss Database (ZILD) concept for preserving social data integrity.
  • To enable efficient capturing, storing, and querying of provenance information for Big Social Data.

Main Methods:

  • Live streaming data from social media (Twitter's Network) into a KVP database.
  • Utilizing a query-driven approach for data modeling.
  • Implementing a framework capable of handling various query types (select, aggregate, historical, updates) and employing the ZILD concept.

Main Results:

  • The proposed BSDP framework effectively captures, stores, and queries provenance information for Big Social Data.
  • Evaluation demonstrates the framework's capability across diverse query sets, including data updates.
  • Performance analysis covers provenance capturing overhead and average execution time for provenance queries.

Conclusions:

  • The BSDP framework offers a robust solution for managing social data provenance in large-scale environments.
  • The ZILD concept enhances the reliability of provenance tracking for social media data.
  • The framework supports comprehensive provenance management for various data operations and query types.