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Social media has proven to be an important source of data for studies related to user behavior. A gap in the state-of-the-art is the use of visual tools that explore not only the content posted, but also social interactions to understand the personality of users. This work proposes a method to analyze personality traits of Twitter users using complex networks. The networks were created from behavioral and textual data of users. After processing the attributes, it was possible to obtain a network with high modularity and homogeneous clusters. The results show patterns of language and behavior associated with the dimensions of the MBTI, contributing to studies related to the mental health of social media users.

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Analysis of User Temperament and Personality Traits in Social Media Through Complex Networks

  • 会议论文

  • 发表日期：

    2026年

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  • Matheus Santos,
  • Elaine R. Faria,
  • Fabíola S. F. Pereira

摘要

Social media has proven to be an important source of data for studies related to user behavior. A gap in the state-of-the-art is the use of visual tools that explore not only the content posted, but also social interactions to understand the personality of users. This work proposes a method to analyze personality traits of Twitter users using complex networks. The networks were created from behavioral and textual data of users. After processing the attributes, it was possible to obtain a network with high modularity and homogeneous clusters. The results show patterns of language and behavior associated with the dimensions of the MBTI, contributing to studies related to the mental health of social media users.