Elena Candellone

Elena Candellone is a PhD Candidate in Network Science at Utrecht University, with a visiting scholar experience at Indiana University (2024). Her work bridges computational social science and network analysis, focusing on signed networks, community detection, and social media dynamics

• Education:
  • MSc in Physics of Complex Systems, Politecnico di Torino (2020–2022)
  • BSc in Physics, Università degli Studi di Torino (2017–2020)

Elena’s research explores the characteristics of the vegetable oil debate on social media, sentiment analysis of sustainability issues, and mechanisms driving viral events. She contributes to interdisciplinary discussions on complex systems and network modeling.

Her most recent work presented at ODISSEI 2024, CCS 2024, and NetSci 2024 focuses on community detection in signed networks, co-voting patterns, and parameter sensitivity in network analysis. She is actively involved in organizing network science workshops, including the WiNS Collabathon and CCS Warm-Up 2024.

• Scientific Awards:
  • AccelNet-MultiNet Fellowship

As a Teaching Assistant at Utrecht University since 2022, she supports courses in Advanced Research Methods, Network Science Summer School, and Data Wrangling. Earlier, she taught Physics Laboratory 1 at Università degli Studi di Torino (2018–2020).