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Found 10 papers, 2 papers with code
Anomaly detection in cross-country money transfer temporal networks
It overcomes many limitations of current prevalent paradigms, offering a holistic interpretation of the financial data landscape and addressing potential blindness to phenomena that cannot be effectively estimated through single-node or narrowly focused transactional approaches.
Analyzing and visualizing polarization and balance with signed networks: the U.S. Congress case study
Signed networks and balance theory provide a natural setting for real-world scenarios that show polarization dynamics, positive/negative relationships, and political partisanship.
Reconciling the Quality vs Popularity Dichotomy in Online Cultural Markets
We propose a simple model of an idealized online cultural market in which $N$ items, endowed with a hidden quality metric, are recommended to users by a ranking algorithm possibly biased by the current items' popularity.
Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns
Our findings expose crucial aspects of the emotional narratives around COVID-19 vaccines adopted by the press, highlighting the need to understand how alternative and mainstream media report vaccination news.
Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language
With the explosive growth of online social media, the ancient problem of information disorders interfering with news diffusion has surfaced with a renewed intensity threatening our democracies, public health, and news outlets' credibility.
PyPlutchik: visualising and comparing emotion-annotated corpora
The increasing availability of textual corpora and data fetched from social networks is fuelling a huge production of works based on the model proposed by psychologist Robert Plutchik, often referred simply as the ``Plutchik Wheel''.
#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection
Interest has grown around the classification of stance that users assume within online debates in recent years.
Learning Real Estate Automated Valuation Models from Heterogeneous Data Sources
Real estate appraisal is a complex and important task, that can be made more precise and faster with the help of automated valuation tools.
People are Strange when you're a Stranger: Impact and Influence of Bots on Social Networks
Bots are, for many Web and social media users, the source of many dangerous attacks or the carrier of unwanted messages, such as spam.
