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Daniele Quercia

Daniele Quercia

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
9085
World Ranking
5115
National Ranking
1454

Overview

Daniele Quercia is affiliated with Nokia Bell Labs in the United States. Their research mostly falls under the broad field of Social Sciences, with a particular focus on Sociology and Political Science, Transportation, Safety Research, Artificial Intelligence, and Statistical and Nonlinear Physics.

The scientist's work covers several main topics, including:

  • Ethics and Social Impacts of AI
  • Human Mobility and Location-Based Analysis
  • Misinformation and Its Impacts
  • Opinion Dynamics and Social Influence
  • Social Media and Politics
  • Mental Health via Writing
  • Urban Transport and Accessibility

Daniele Quercia has contributed extensively to several publication venues. The most frequent include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the ACM on Human-Computer Interaction
  • EPJ Data Science
  • Harvard Dataverse

Among the recent papers authored or co-authored by Daniele Quercia are:

  • The Social World of Twitter: Topics, Geography, and Emotions (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • Smelly Maps: The Digital Life of Urban Smellscapes (2021), Proceedings of the International AAAI Conference on Web and Social Media

Frequent collaborators in Daniele Quercia's research include:

  • Marios Constantinides
  • Sanja Šćepanović
  • Luca Maria Aiello
  • Edyta P. Bogucka
  • Sagar Joglekar

The scientist's work often addresses interdisciplinary and socially relevant themes, integrating methods and insights from artificial intelligence, social media analysis, and urban studies. The research outputs contribute to understanding complex social phenomena such as emotions on social platforms, urban sensory experiences, and the ethical and societal implications of AI technologies.

Best Publications

  • Our Twitter Profiles, Our Selves: Predicting Personality with Twitter

    Daniele Quercia;Michal Kosinski;David Stillwell;Jon Crowcroft

  • The shortest path to happiness: recommending beautiful, quiet, and happy routes in the city

    Daniele Quercia;Rossano Schifanella;Luca Maria Aiello

  • Auralist: introducing serendipity into music recommendation

    Yuan Cao Zhang;Diarmuid Ó Séaghdha;Daniele Quercia;Tamas Jambor

  • Who Benefits from the "Sharing" Economy of Airbnb?

    Giovanni Quattrone;Davide Proserpio;Daniele Quercia;Licia Capra

  • Recommending Social Events from Mobile Phone Location Data

    Daniele Quercia;Neal Lathia;Francesco Calabrese;Giusy Di Lorenzo

  • The personality of popular facebook users

    Daniele Quercia;Renaud Lambiotte;David Stillwell;Michal Kosinski

  • The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective

    Marco De Nadai;Jacopo Staiano;Roberto Larcher;Nicu Sebe

  • Aesthetic capital: what makes london look beautiful, quiet, and happy?

    Daniele Quercia;Neil Keith O'Hare;Henriette Cramer

  • Tracking "gross community happiness" from tweets

    Daniele Quercia;Jonathan Ellis;Licia Capra;Jon Crowcroft

  • Chatty maps: constructing sound maps of urban areas from social media data.

    Luca Maria Aiello;Rossano Schifanella;Daniele Quercia;Francesco Aletta

  • StakeNet: using social networks to analyse the stakeholders of large-scale software projects

    Soo Ling Lim;Daniele Quercia;Anthony Finkelstein

  • Smelly Maps: The Digital Life of Urban Smellscapes

    Daniele Quercia;Rossano Schifanella;Luca Maria Aiello;Kate McLean

  • TweetLDA: supervised topic classification and link prediction in Twitter

    Daniele Quercia;Harry Askham;Jon Crowcroft

  • The Social World of Twitter: Topics, Geography, and Emotions

    Daniele Quercia;Licia Capra;Jon Crowcroft

  • B-Trust: bayesian trust framework for pervasive computing

    Daniele Quercia;Stephen Hailes;Licia Capra

  • In the Mood for Being Influential on Twitter

    Daniele Quercia;Jonathan Ellis;Licia Capra;Jon Crowcroft

  • FriendSensing: recommending friends using mobile phones

    Daniele Quercia;Licia Capra

  • Dawn of the Selfie Era: The Whos, Wheres, and Hows of Selfies on Instagram

    Flávio Souza;Diego de Las Casas;Vinícius Flores;SunBum Youn

  • Urban Computing Leveraging Location-Based Social Network Data: A Survey

    Thiago H. Silva;Aline Carneiro Viana;Fabrício Benevenuto;Leandro Villas

  • Recommending investors for crowdfunding projects

    Jisun An;Daniele Quercia;Jon Crowcroft

  • Sybil Attacks Against Mobile Users: Friends and Foes to the Rescue

    Daniele Quercia;Stephen Hailes

Frequent Co-Authors

Licia Capra
Licia Capra University College London
Jon Crowcroft
Jon Crowcroft University of Cambridge
Stephen Hailes
Stephen Hailes University College London
Francesco Bonchi
Francesco Bonchi Institute for Scientific Interchange
Ilias Leontiadis
Ilias Leontiadis Facebook (United States)
Meeyoung Cha
Meeyoung Cha Korea Advanced Institute of Science and Technology
Virgilio Almeida
Virgilio Almeida Universidade Federal de Minas Gerais
Cecilia Mascolo
Cecilia Mascolo University of Cambridge
Mirco Musolesi
Mirco Musolesi University College London
Vito Latora
Vito Latora Queen Mary University of London

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