Exploració per autor "Starnini, Michele"
Ara es mostren els items 1-20 de 39
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Aging and percolation dynamics in a Non-Poissonian temporal network model
Moinet, Antoine; Starnini, Michele; Pastor Satorras, Romualdo (2016-08-24)
Article
Accés obertWe present an exhaustive mathematical analysis of the recently proposed Non-Poissonian Activity Driven (NoPAD) model [Moinet et al., Phys. Rev. Lett. 114, 108701 (2015)], a temporal network model incorporating the empirically ... -
Burstiness and aging in social temporal networks
Moinet, Antoine; Starnini, Michele; Pastor Satorras, Romualdo (2015-03-13)
Article
Accés obertThe presence of burstiness in temporal social networks, revealed by a power-law form of the waiting time distribution of consecutive interactions, is expected to produce aging effects in the corresponding time-integrated ... -
Charting mobility patterns in the scientific knowledge landscape
Kumar Singh, Chakresh; Tupikina, Liubov; Lécuyer, Fabrice; Starnini, Michele; Santolini, Marc (Springer, 2024-02-20)
Article
Accés obertFrom small steps to great leaps, metaphors of spatial mobility abound to describe discovery processes. Here, we ground these ideas in formal terms by systematically studying mobility patterns in the scientific knowledge ... -
Collective response to media coverage of the COVID-19 pandemic on Reddit and Wikipedia: mixed-methods analysis
Gozzi, Nicolò; Starnini, Michele; Panisson, André; Paolotti, Daniela; Perra, Nicola (JMIR, 2020-10-12)
Article
Accés obertBackground: The exposure and consumption of information during epidemic outbreaks may alter people’s risk perception and trigger behavioral changes, which can ultimately affect the evolution of the disease. It is thus of ... -
Coordination and growth: the Stag Hunt game on evolutionary networks
Starnini, Michele; Poncela, Julia; moreno, yamir; sanchez, angel (Institute of Physics (IOP), 2011-05-06)
Article
Accés obertRecently, the study of evolutionary games on networks has attracted great interest, focused mainly on the problem of the emergence of cooperation. A well studied framework for this problem is the Prisoner’s Dilemma game ... -
Detecting adherence to the recommended childhood vaccination schedule from user-generated content in a US parenting forum
Betti, Lorenzo; De Francisci Morales, Gianmarco; Gauvin, Laetitia; Kalimeri, Kyriaki; Mejova, Yelena; Paolotti, Daniela; Starnini, Michele (Public Library of Science (PLOS), 2021-04-26)
Article
Accés obertVaccine hesitancy is considered as one of the leading causes for the resurgence of vaccine preventable diseases. A non-negligible minority of parents does not fully adhere to the recommended vaccination schedule, leading ... -
Effects of temporal correlations in social multiplex networks
Starnini, Michele; Baronchelli, Andrea; Pastor Satorras, Romualdo (Macmillan Publishers, 2017-08-17)
Article
Accés obertMulti-layered networks represent a major advance in the description of natural complex systems, and their study has shed light on new physical phenomena. Despite its importance, however, the role of the temporal dimension ... -
Emergence of metapopulations and echo chambers in mobile agents
Starnini, Michele; Frasca, Mattia; Baronchelli, Andrea (Nature, 2016-08-30)
Article
Accés obertMulti-agent models often describe populations segregated either in the physical space, i.e. subdivided in metapopulations, or in the ecology of opinions, i.e. partitioned in echo chambers. Here we show how both kinds of ... -
Emergence of Polarized Ideological Opinions in Multidimensional Topic Spaces
Baumann, Fabian; Lorenz-Spreen, Philipp; Sokolov, Igor M.; Starnini, Michele (2021-01-20)
Article
Accés obertOpinion polarization is on the rise, causing concerns for the openness of public debates. Additionally, extreme opinions on different topics often show significant correlations. The dynamics leading to these polarized ... -
Epidemic processes on self-propelled particles: Continuum and agent-based modeling
Rodríguez García, Jorge Pablo; Paoluzzi, Matteo; Levis, Demian; Starnini, Michele (American Physical Society, 2022-12-05)
Article
Accés obertMost spreading processes require spatial proximity between agents. The stationary state of spreading dynamics in a population of mobile agents thus depends on the interplay between the time and length scales involved in ... -
Epidemic spreading in modular time-varying networks
Nadini, Matthieu; Sun, Kaiyuan; Ubaldi, Enrico; Starnini, Michele; Rizzo, Alessandro; Perra, Nicola (Nature, 2018-02-05)
Article
Accés obertWe investigate the effects of modular and temporal connectivity patterns on epidemic spreading. To this end, we introduce and analytically characterise a model of time-varying networks with tunable modularity. Within this ... -
Equivalence between Non-Markovian and Markovian Dynamics in Epidemic Spreading Processes
Gleeson, J P; Boguña Espinal, Marian; Starnini, Michele (American Institute of Physics (AIP), 2017-03-24)
Article
Accés obertA general formalism is introduced to allow the steady state of non-Markovian processes on networks to be reduced to equivalent Markovian processes on the same substrates. The example of an epidemic spreading process is ... -
Flocking-enhanced social contagion
Levis, Demian; Díaz Guilera, Albert; Pagonabarraga Mora, Ignacio; Starnini, Michele (American Physical Society, 2020-09-01)
Article
Accés obertBackground: Emergency Medical Services (EMS) plays a fundamental role in providing good quality healthcare services to citizens, as they are the first responders in distressing situations. Few studies have used available ... -
Generalized voter-like models on heterogeneous networks
Moretti, Paolo; Baronchelli, Andrea; Starnini, Michele; Pastor Satorras, Romualdo (Springer, 2013)
Capítol de llibre
Accés restringit per política de l'editorialThis Chapter presents a generalized model of consensus formation, which is able to encompass all previous formulations of copy/invasion processes inspired by variations on the voter model and the Moran process. It considered ... -
Geometric randomization of real networks with prescribed degree sequence
Starnini, Michele; ortiz, elisenda; Serrano, M.Angels (2019-05-01)
Article
Accés obertWe introduce a model for the randomization of complex networks with geometric structure. The geometric randomization (GR) model assumes a homogeneous distribution of the nodes in a hidden similarity space and uses rewirings ... -
Global misinformation spillovers in the vaccination debate before and during the COVID-19 pandemic: multilingual Twitter study
Lenti, Jacopo; Mejova, Yelena; Kalimeri, Kyriaki; Panisson, André; Paolotti, Daniela; Tizzani, Michele; Starnini, Michele (2023-01-01)
Article
Accés obertBackground: Antivaccination views pervade online social media, fueling distrust in scientific expertise and increasing the number of vaccine-hesitant individuals. Although previous studies focused on specific countries, ... -
Immunization strategies for epidemic processes in time-varying contact networks
Starnini, Michele; Machens, Anna; Cattuto, Ciro; Barrat, Alain; Pastor Satorras, Romualdo (2013)
Article
Accés obertpreading processes represent a very efficient tool to investigate the structural properties of networks and the relative importance of their constituents, and have been widely used to this aim in static networks. Here we ... -
Impact of data accuracy on the evaluation of COVID-19 mitigation policies
Starnini, Michele; Aleta, Alberto; Tizzoni, Michele; Moreno, Yamir (Cambridge University Press, 2021-10-28)
Article
Accés obertEvaluating the effectiveness of nonpharmaceutical interventions (NPIs) to mitigate the COVID-19 pandemic is crucial to maximize the epidemic containment while minimizing the social and economic impact of these measures. ... -
Link prediction in multiplex networks via triadic closure
Tuninetti, Marta; Aleta, Alberto; Paolotti, Daniela; Moreno, Yamir; Starnini, Michele (American Physical Society, 2020-11-16)
Article
Accés obertLink prediction algorithms can help to understand the structure and dynamics of complex systems, to reconstruct networks from incomplete data sets, and to forecast future interactions in evolving networks. Available ... -
Machine learning model as a useful tool for prediction of thyroid nodules histology, aggressiveness and treatment-related complications
Dell'Era, Valeria; Perotti, Alan; Starnini, Michele; Campagnoli, Massimo; Silvia Rosa, Maria; Saino, Irene; Aluffi Valletti, Paolo; Garzaro, Massimiliano (Multidisciplinary Digital Publishing Institute (MDPI), 2023-11-01)
Article
Accés obertThyroid nodules are very common, 5–15% of which are malignant. Despite the low mortality rate of well-differentiated thyroid cancer, some variants may behave aggressively, making nodule differentiation mandatory. Ultrasound ...