Article
Multidisciplinary Sciences
Fulian Yin, Yuwei She, Jinxia Wang, Yuewei Wu, Jianhong Wu
Summary: Online social networks have transformed communication by providing individuals with platforms to express opinions. This study presents the SLFI-JA model, which integrates information propagation and opinion evolution by considering internal and external factors. The findings offer valuable insights for public opinion response and management.
ADVANCED THEORY AND SIMULATIONS
(2023)
Article
Polymer Science
Antonio Lamura
Summary: The dynamical response of a tethered semiflexible polymer with self-attractive interactions under an external force field was numerically investigated by varying stiffness and self-interaction strength. Different parameters led to various transitions and morphological changes in the polymer chain. The study showed that the external force had significant effects on the conformation and deformation of the polymer chain.
Article
Communication
Anthony Fowler, William G. Howell
Summary: In this era of hyper-polarization and partisan animosity, people may not incorporate the viewpoints of their political opponents. However, research shows that incomplete experimental designs and specific measurement strategies have led to findings suggesting the reflexive adoption of opposite positions when presented with information about opponents' policy views. In a series of experiments, updating beliefs in accordance with both Republican and Democratic leaders' positions was observed, indicating that partisans are not perpetually determined to disagree and are often willing to incorporate opposing viewpoints on various policy issues.
PUBLIC OPINION QUARTERLY
(2023)
Article
Mathematics, Interdisciplinary Applications
Fanyuan Meng, Jiadong Zhu, Yuheng Yao, Enrico Maria Fenoaltea, Yubo Xie, Pingle Yang, Run-Ran Liu, Jianlin Zhang
Summary: The emergence of disagreement is a new phenomenon observed in growing social groups, leading to group fragmentation beyond a certain threshold. To better understand this process, a model of group formation is introduced, where individuals have multidimensional binary opinions and the group grows through a noisy homophily principle. Regardless of the system's noise level, disagreement spontaneously emerges in growing groups, and fragmentation becomes inevitable for groups of infinite size. The model outcomes are robust under different group growth mechanisms.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Business
Xiaoran Huang, Weilong Kang
Summary: This study examines the impact of share pledges by controlling shareholders on stock liquidity. Using 2SLS and an exogenous regulatory change, we find a positive causal link between pledging and stock liquidity. Our results are robust to various tests and we find that dispersion of opinions among investors explains the findings. Additionally, our study shows that share pledging is associated with lower liquidity risk, contradicting regulatory concerns about its negative impact on the company's information environment.
EMERGING MARKETS FINANCE AND TRADE
(2023)
Article
Mechanics
Yu Tian, Baoli Wang, Chenyang Zhao, Wuxing Lai, Yin Guan, Weiwei Deng, YongAn Huang
Summary: Air cushioning and bubble entrapment can be eliminated by charging droplets or applying external electric fields during low-velocity droplet impact. This study numerically investigates the impact of charged droplets on solid surfaces under external electric fields and finds that net charge can enhance the field on one side while weakening it on the opposite side, following a linear superimposition in the atmosphere. The scaling law for the electric field threshold required for impact without air cushioning or bubble entrapment is given, and a fitting function based on this scaling law shows good agreement with the phase diagram of charged droplet impact modes under electric fields. These findings provide valuable insights for applications involving charged droplets' impact under electric fields.
Article
Business, Finance
Qiang Gong, Gady Jacoby, Shi Li, Lei Lu
Summary: The study reveals the commonality in firms' individual disagreements on market, industry, and geographic levels, which correlates with firm's asymmetric information, uncertainty, and coverage. It also suggests that disagreement commonality can serve as a measure of firm-specific information importance, showing a positive relationship with co-movement in stock returns among firms.
PACIFIC-BASIN FINANCE JOURNAL
(2021)
Article
Mechanics
T. Trummler, S. J. Schmidt, N. A. Adams
Summary: Numerical investigation on the effect of non-condensable gas inside a vapor bubble reveals that the free gas has a damping effect and enhances bubble rebound. A multi-component model is derived and validated to estimate this effect, with simulations showing good capture of the impact of non-condensable gas on rebound and shock wave emission.
Article
Mechanics
T. Trummler, S. J. Schmidt, N. A. Adams
Summary: Numerical investigation was conducted on the effect of non-condensable gas inside a vapor bubble on bubble dynamics and collapse pressure, with a multi-component model proposed and validated for vapor bubbles containing gas. The simulations showed that the non-condensable gas has a significant impact on the rebound and damping of shock waves emitted during bubble collapse.
Article
Mathematics, Interdisciplinary Applications
Aleksejus Kononovicius
Summary: Latane's social impact theory predicts that recruitment and supportive interactions play a significant role in opinion formation. This study examines a noisy voter model with supportive interactions, where voters are less likely to change their opinions. Two different ways of implementing support are explored: deterring imitation and promoting independence, or just deterring imitation. These assumptions introduce strong drift into the model, affecting the outcome of the model significantly.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Computer Science, Artificial Intelligence
Alessio Franci, Anastasia Bizyaeva, Shinkyu Park, Naomi Ehrich Leonard
Summary: The study presents a continuous-time and state-space model of opinion cascades on networks, focusing on the emergence of agreement and disagreement states and introducing new tools to analyze and control these cascades. It highlights the importance of network structure and proposes novel concepts of agreement and disagreement centrality. The results have implications for analyzing and controlling opinion cascades in real-world networks and designing opinion-forming behaviors in robotic swarms.
SWARM INTELLIGENCE
(2021)
Article
Physics, Fluids & Plasmas
Roxane Letournel, Ludovic Goudenege, Remi Zamansky, Aymeric Vie, Marc Massot
Summary: The paper proposes a set of requirements for models designed within the Lagrangian framework and explores multifractal stochastic processes and Gaussian multiplicative chaos formalism to retrieve multifractal properties in simulating intermittency. Additionally, a stochastic model is proposed to approximate fractional Brownian motion by an infinite weighted sum of correlated Ornstein-Uhlenbeck processes, and a new simulation approach is designed for intermittency processes.
Article
Physics, Multidisciplinary
Gioia Boschi, Chiara Cammarota, Reimer Kuehn
Summary: This paper explores how external information impacts society and becomes part of social memory. The study shows that external news must have certain characteristics in order to be included in collective memory, and there is an analytical way to measure how much information a society can remember when presented with a large number of news items.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Business, Finance
Maarten Meeuwis, Jonathan A. Parker, Antoinette Schoar, Duncan Simester
Summary: Analyzing proprietary financial data on millions of households, it is found that likely-Republicans increased their equity share and market beta after the 2016 presidential election, while likely-Democrats rebalanced their portfolios with safe assets. This behavior is attributed to investors interpreting public information based on different models of the world.
JOURNAL OF FINANCE
(2022)
Article
Physics, Multidisciplinary
Nicholas Kah Yean Low, Andrew Melatos
Summary: This article explores a long-term behavior known as intermittency, where individuals cycle between stable and turbulent beliefs. Through simulations, it is found that different types of network structures lead to different types of intermittency, and the probability density functions of dwell times also vary. Therefore, the underlying network structure can be inferred by observing the dwell times of learners.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Multidisciplinary Sciences
Alina Sirbu, Dino Pedreschi, Fosca Giannotti, Janos Kertesz
Article
Computer Science, Theory & Methods
Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sirbu, Andrea Bartolini, Andrea Borghesi
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2020)
Article
Physics, Multidisciplinary
Francesca Tria, Irene Crimaldi, Giacomo Aletti, Vito D. P. Servedio
Article
Multidisciplinary Sciences
Alina Sirbu, Greta Barbieri, Francesco Faita, Paolo Ferragina, Luna Gargani, Lorenzo Ghiadoni, Corrado Priami
Summary: Clinical decision support systems based on predictive models can improve the management of COVID-19 patients by selecting six clinical variables with the highest predictive power using genetic algorithms.
SCIENTIFIC REPORTS
(2021)
Correction
Computer Science, Artificial Intelligence
Alina Sirbu, Gennady Andrienko, Natalia Andrienko, Chiara Boldrini, Marco Conti, Fosca Giannotti, Riccardo Guidotti, Simone Bertoli, Jisu Kim, Cristina Ioana Muntean, Luca Pappalardo, Andrea Passarella, Dino Pedreschi, Laura Pollacci, Francesca Pratesi, Rajesh Sharma
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
(2021)
Article
Mathematics, Interdisciplinary Applications
Vito D. P. Servedio, Marcia R. Ferreira, Niklas Reisz, Rodrigo Costas, Stefan Thurner
Summary: The regional capability of performing front-running research and technological development is crucial for future wealth creation. The quality and quantity of scientific capabilities in different world regions vary greatly. Through analyzing global scientific activity and researcher mobility data, we found empirical evidence that the process of scientific knowledge accumulation is universal and applies to all regions in various fields. Our research suggests that regions that embrace new technologies earlier tend to dominate the corresponding scientific fields.
CHAOS SOLITONS & FRACTALS
(2023)
Review
Mathematics, Interdisciplinary Applications
Jisu Kim, Alina Sirbu, Fosca Giannotti, Giulio Rossetti, Hillel Rapoport
Summary: The cultural integration of immigrants has a significant impact on their overall socio-economic integration and the attitudes of natives towards globalization and immigration. Cultural integration can be described as the preservation of ties to the origin country and culture, as well as the creation of new links and adoption of cultural traits from the new residence country. This paper introduces a method based on Twitter data to quantify these aspects and analyzes their possible determinants.
Article
Computer Science, Information Systems
Jisu Kim, Francesca Pratesi, Giulio Rossetti, Alina Sirbu, Fosca Giannotti
Summary: This study fills the gap in previous research on social networks by analyzing the characteristics and behaviors of migrants and natives on Twitter. It found that migrants have more followers and tweet more compared to natives, and their connections are more based on nationality. Additionally, both groups exhibit strong homophilic behaviors.
SOCIAL NETWORK ANALYSIS AND MINING
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Jisu Kim, Alina Sirbu, Giulio Rossetti, Fosca Giannotti
Summary: This paper fills a gap in the research on social networks by studying the characteristics and behaviors of migrants and natives on Twitter. The study finds that migrants have more followers and tweet more frequently. Additionally, users tend to connect based on nationality rather than country of residence, and this is more pronounced for migrants.
COMPLEX NETWORKS & THEIR APPLICATIONS X, VOL 1
(2022)
Article
Computer Science, Artificial Intelligence
Alina Sirbu, Gennady Andrienko, Natalia Andrienko, Chiara Boldrini, Marco Conti, Fosca Giannotti, Riccardo Guidotti, Simone Bertoli, Jisu Kim, Cristina Ioana Muntean, Luca Pappalardo, Andrea Passarella, Dino Pedreschi, Laura Pollacci, Francesca Pratesi, Rajesh Sharma
Summary: This paper explores how big data can assist in understanding the migration phenomenon, focusing on the journey, stay, and effects of migration on source countries. Traditional and novel data sources and models are compared across different phases of migration, aiming to provide a basis for a novel multi-level integration index.
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Jisu Kim, Alina Sirbu, Fosca Giannotti, Lorenzo Gabrielli
ADVANCES IN INTELLIGENT DATA ANALYSIS XVIII, IDA 2020
(2020)
Article
Computer Science, Information Systems
Alessio Rossi, Eleonora Da Pozzo, Dario Menicagli, Chiara Tremolanti, Corrado Priami, Alina Sirbu, David A. Clifton, Claudia Martini, Davide Morelli
Proceedings Paper
Computer Science, Software Engineering
Cristian Galleguillos, Zeynep Kiziltan, Alina Sirbu, Ozalp Babaoglu
PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING, CP 2019
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sirbu, Andrea Bartolini, Andrea Borghesi
EURO-PAR 2018: PARALLEL PROCESSING WORKSHOPS
(2019)
Article
Computer Science, Interdisciplinary Applications
Alina Sirbu, Fosca Giannotti, Dino Pedreschi, Janos Kertesz