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Artificial Intelligence Techniques Used to Extract Relevant Information from Complex Social Networks.

Santiago Paramés-Estévez1,2, Alejandro Carballosa1,2, David Garcia-Selfa1,2,3

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We developed an AI method to analyze social network data, significantly reducing computation time for understanding online behavior patterns. This approach uses Convolutional Neural Networks to extract structural information from network images.

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CNNTwittercomplex networksmachine learning

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Area of Science:

  • Computational Social Science
  • Artificial Intelligence
  • Network Analysis

Background:

  • Social networks generate vast amounts of behavioral data, often overwhelming traditional analysis methods.
  • Extracting meaningful insights from large-scale social network data is challenging due to temporal and computational constraints.

Purpose of the Study:

  • To develop an efficient artificial intelligence (AI)-based method for analyzing complex social network structures.
  • To significantly reduce the computational time required for extracting meaningful information from social behavior data.

Main Methods:

  • Utilized data from Twitter to construct complex social networks representing online activity patterns.
  • Rendered these networks into images for analysis.
  • Employed a Convolutional Neural Network (CNN)-based AI method to extract structural information from the network images.

Main Results:

  • The AI-based method achieved a reduction in calculation time by several orders of magnitude.
  • Successfully extracted structural information from complex social networks, enabling the description of online activity patterns.
  • Demonstrated the feasibility of using image-based AI analysis for large-scale network data.

Conclusions:

  • AI, particularly CNNs, offers a powerful solution for overcoming computational challenges in social network analysis.
  • The developed method enables more efficient extraction of behavioral insights from large social datasets.
  • This approach facilitates a deeper understanding of societal online activity patterns.