A5031186097- Auction Theory and Applications
- Game Theory and Applications
- Sentiment Analysis and Opinion Mining
- Consumer Market Behavior and Pricing
- Innovations in Educational Methods
- Economic theories and models
- Online Learning and Analytics
- Labor market dynamics and wage inequality
- Bird parasitology and diseases
- COVID-19 Pandemic Impacts
- Wildlife Ecology and Conservation
- Online and Blended Learning
- Hate Speech and Cyberbullying Detection
- Complex Systems and Time Series Analysis
- Topic Modeling
- Educational Assessment and Improvement
- Advanced Text Analysis Techniques
- Digital Marketing and Social Media
- Education and Learning Interventions
- Amphibian and Reptile Biology
- Evaluation and Performance Assessment
- Complex Network Analysis Techniques
- Electoral Systems and Political Participation
- Misinformation and Its Impacts
- Web Data Mining and Analysis
University of Verona
2022
University of Padua
2022
University of Naples Federico II
2019-2020
Ca' Foscari University of Venice
2017
Bocconi University
2011-2015
Purpose This research aims to contribute the literature on sustainable hospitality and tourism by applying social network analysis identify business networks untangle role of cognitive geographical proximity in their formation. Design/methodology/approach Data mining machine learning techniques were applied data collected from websites companies located northeastern Italy, namely, Veneto region. Specifically, authors used Web scraping extract relevant information internet. Findings The...
In this paper we investigate the effects of using a Facebook page exclusively devoted to first year Mathematics course in large Italian public university. Posts and discussions supported traditional face-to-face lectures students could freely post queries get help from professors peers. We use newly constructed dataset measure how influences grade they achieved probability getting passing grade.
We model a continuous double auction with heterogenous agents and compute approximate optimal trading strategies using evolution strategies. Agents privately know their values costs have limited time to transact. focus on equilibrium that are developed taking into account the number of traders submitted orders previously, as well who will submit subsequently. find it is place increasingly aggressive orders, according roughly linear schedule, test resulting for robustness accuracy.
In the last decade, social networks have increasingly been used in sciences to monitor consumer preferences and citizens' opinion formation, as they are able produce a massive amount of data. this paper, we aim collect analyse data from Twitter posts identifying emerging patterns related COVID-19 outbreak evaluate economic sentiment users during pandemic. Using API, collected tweets containing term coronavirus at least keyword economy selected pre-determined batch, obtaining database...