Davide Vega D'Aurelio
Biträdande universitetslektor vid Institutionen för informationsteknologi; Datalogi
- Telefon:
- 018-471 10 62
- E-post:
- davide.vega@it.uu.se
- Besöksadress:
- Lägerhyddsvägen 2, hus 1
752 37 Uppsala - Postadress:
- Box 337
751 05 UPPSALA
- ORCID:
- 0000-0001-8795-1957
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My research interests have an interdisciplinary and practical perspective at the intersection of computational social science, network science and natural language processing. Currently, I am developing analytical models and methods to study online communication and its influence on our collective opinions and ideas.
Personal webpage / davidevega.eu
Research Group / Uppsala University Information Laboratory
Nyckelord
- computational social science
- data science
- game theory
- information networks
- natural language processing
- social network analysis
- socio-technical systems
Publikationer
Senaste publikationer
- Robustness and Sensitivity of Network-Based Topic Detection (2023)
- Immigrant-critical alternative media in online conversations (2023)
- Analysis of Multiplex Social Networks with R (2021)
- Multilayer network simplification (2020)
- A Twitter-Based Study of the European Internet of Things (2020)
Alla publikationer
Artiklar
- Immigrant-critical alternative media in online conversations (2023)
- Analysis of Multiplex Social Networks with R (2021)
- Multilayer network simplification (2020)
- A Twitter-Based Study of the European Internet of Things (2020)
- An Analysis of the Consequences of the General Data Protection Regulation on Social Network Research (2019)
- Observing the tech, using meetup data to observe the evolution of the discourse around IoT (2019)
- Foundations of Temporal Text Networks (2018)