Unveiling Network Data Patterns in Social Media

Unveiling Network Data Patterns in Social Media

Maria Prosperina Vitale, Maria Carmela Catone, Ilaria Primerano, Giuseppe Giordano
DOI: 10.4018/978-1-7998-8473-6.ch033
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Abstract

The present study focuses on the usefulness of social network analysis in unveiling network patterns in social media. Specifically, the propagation and consumption of information on Twitter through network analysis tools are investigated to discover the presence of specific conversational patterns in the derived online data. The choosing of Twitter is motivated by the fact that it induces the definition of relationships between users by following communication flows on specific topics of interest and identifying key profiles who influence debates in the digital space. Further lines of research are discussed regarding the tools for discovering the spread of fake news. Considerable disinformation can be generated on social networks, offering a complex picture of informational disorientation in the digital society.
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Challenges And Opportunities Of Digital Society

The extensive process of digitalization that reshapes the activities we usually conduct, the environments in which we are embedded, and the objects we use are among the most significant characteristics of contemporary society. There are many examples of how digital technologies are integrated into multiple dimensions of everyday life, such as in credit card transactions, the geolocation of our movements, the images captured by video surveillance cameras, and the smartphones and tablets we carry around with us.

Specifically, the Internet and ICT have contributed to the creation of a “complex and multifaceted arena” (Roberts et al., 2016, p. 3) in which different environments, tools, and infrastructures dynamically converge and has deeply impacted the reconfiguration of daily habits regarding time, space, activities, social relations, and identity representations.

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