What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Artificial intelligence
- The Internet
His scientific interests lie mostly in Social media, Misinformation, Polarization, Narrative and Social psychology.
Antonio Scala has researched Social media in several fields, including Information space, Anatomy, Advertising, Geolocation and Set.
The Advertising study combines topics in areas such as Homogeneous clusters, Microblogging and Focus.
His Misinformation research incorporates elements of Information Dissemination, Disintermediation, The Internet and Group cohesiveness.
His work on Confirmation bias, Group dynamic and Information cascade is typically connected to Qualitative evidence and Empirical evidence as part of general Social psychology study, connecting several disciplines of science.
His Media studies research incorporates themes from Sentiment analysis, Imitation, Framing and Chemistry.
His most cited work include:
- Classes of small-world networks (2555 citations)
- The spreading of misinformation online (744 citations)
- Update on burning mouth syndrome: overview and patient management. (382 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Complex network, Polarization, Social media, Statistical physics and Distributed computing.
His Complex network study integrates concerns from other disciplines, such as Smart grid and Resilience.
Antonio Scala regularly ties together related areas like Public opinion in his Polarization studies.
His Social media research is multidisciplinary, incorporating perspectives in Misinformation and Social psychology.
His biological study spans a wide range of topics, including Statics, Classical mechanics, Energy landscape and Potential energy surface.
His study focuses on the intersection of Distributed computing and fields such as Distributed generation with connections in the field of Electric power system.
He most often published in these fields:
- Complex network (17.30%)
- Polarization (14.05%)
- Social media (13.51%)
What were the highlights of his more recent work (between 2018-2021)?
- Coronavirus disease 2019 (4.86%)
- Social media (13.51%)
- Internet privacy (10.27%)
In recent papers he was focusing on the following fields of study:
Antonio Scala mainly focuses on Coronavirus disease 2019, Social media, Internet privacy, Polarization and Confirmation bias.
The study of Social media is intertwined with the study of Misinformation in a number of ways.
The concepts of his Misinformation study are interwoven with issues in Novelty, Fake news, Data science and Warning system.
His work carried out in the field of Internet privacy brings together such families of science as Popularity, Ranking, Attention economy and Social system.
As part of one scientific family, Antonio Scala deals mainly with the area of Confirmation bias, narrowing it down to issues related to the Reinforcement, and often Echo.
His Distributed computing study incorporates themes from Key, Reduction, Complex network and Resilience.
Between 2018 and 2021, his most popular works were:
- The COVID-19 social media infodemic (255 citations)
- Economic and social consequences of human mobility restrictions under COVID-19. (229 citations)
- Polarization and Fake News: Early Warning of Potential Misinformation Targets (60 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Artificial intelligence
- The Internet
Antonio Scala focuses on Coronavirus disease 2019, Social media, Misinformation, Internet privacy and Data science.
Antonio Scala integrates many fields, such as Social media and engineering, in his works.
Among his research on Internet privacy, you can see a combination of other fields of science like Polarization and Social relationship.
His Polarization research overlaps with other disciplines such as User engagement, Narrative and Peer influence.
His Data science study often links to related topics such as Information Dissemination.
His study in Confirmation bias is interdisciplinary in nature, drawing from both Novelty, Reinforcement, Fake news and Warning system.
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