Exploració per autor "Starnini, Michele"
Ara es mostren els items 14-33 de 39
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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 ... -
Model reproduces individual, group and collective dynamics of human contact networks
Starnini, Michele; Baronchelli, Andrea; Pastor Satorras, Romualdo (2016-10-01)
Article
Accés obertEmpirical data on the dynamics of human face-to-face interactions across a variety of social venues have recently revealed a number of context-independent structural and temporal properties of human contact networks. This ... -
Modeling explosive opinion depolarization in interdependent topics
Ojer Ferrer, Jaume; Starnini, Michele; Pastor Satorras, Romualdo (American Institute of Physics (AIP), 2023-05-17)
Article
Accés obertUnderstanding the dynamics of opinion depolarization is pivotal to reducing the political divide in our society. We propose an opinion dynamics model, which we name the social compass model, for interdependent topics ... -
Modeling human dynamics of face-to-face interaction networks
Starnini, Michele; Baronchelli, Andrea; Pastor Satorras, Romualdo (American Institute of Physics (AIP), 2013-04-15)
Article
Accés obertFace-to-face interaction networks describe social interactions in human gatherings, and are the substrate for processes such as epidemic spreading and gossip propagation. The bursty nature of human behavior characterizes ... -
Modeling partial lockdowns in multiplex networks using partition strategies
Plazas,, Adrià; Malvestio, Irene; Starnini, Michele; Díaz Guilera, Albert (Springer Nature, 2021-04-01)
Article
Accés obertNational stay-at-home orders, or lockdowns, were imposed in several countries to drastically reduce the social interactions mainly responsible for the transmission of the SARS-CoV-2 virus. Despite being essential to slow ... -
Navigability of temporal networks in hyperbolic space
ortiz, elisenda; Starnini, Michele; Serrano, M. Angels (Nature, 2017-11-08)
Article
Accés obertInformation routing is one of the main tasks in many complex networks with a communication function. Maps produced by embedding the networks in hyperbolic space can assist this task enabling the implementation of efficient ... -
No echo in the chambers of political interactions on Reddit
De Francisci Morales, Gianmarco; Monti, Corrado; Starnini, Michele (Nature, 2021-02-02)
Article
Accés obertEcho chambers in online social networks, whereby users’ beliefs are reinforced by interactions with like-minded peers and insulation from others’ points of view, have been decried as a cause of political polarization. Here, ... -
Online conspiracy communities are more resilient to deplatforming
Monti, Corrado; Cinelli, Matteo; Valensise, Carlo; Quattrociocchi, Walter; Starnini, Michele (2023-10-01)
Article
Accés obertOnline social media foster the creation of active communities around shared narratives. Such communities may turn into incubators for conspiracy theories—some spreading violent messages that could sharpen the debate and ... -
Ordering dynamics of the multi-state voter model
Starnini, Michele; Baronchelli, Andrea; Pastor Satorras, Romualdo (Institute of Physics (IOP), 2012-10-30)
Article
Accés obertThe voter model is a paradigm of ordering dynamics. At each time step, a random node is selected and copies the state of one of its neighbors. Traditionally, this state has been considered as a binary variable. Here, we ... -
Political context of the European vaccine debate on Twitter
Paoletti, Giordano; Dall'Amico, Lorenzo; Kalimeri, Kyriaki; Lenti, Jacopo; Mejova, Yelena; Paolotti, Daniela; Starnini, Michele; Tizzani, Michele (Springer, 2024-12-01)
Article
Accés obertAt the beginning of the COVID-19 pandemic, fears grew that making vaccination a political (instead of public health) issue may impact the efficacy of this life-saving intervention, spurring the spread of vaccine-hesitant ... -
Prediction of new scientific collaborations through multiplex networks
Tuninetti, Marta; Aleta, Alberto; Paolotti, Daniela; Moreno, Yamir; Starnini, Michele (2021-12)
Article
Accés obertThe establishment of new collaborations among scientists fertilizes the scientific environment, fostering novel discoveries. Understanding the dynamics driving the development of scientific collaborations is thus crucial ... -
Quantifying echo chamber effects in information spreading over political communication networks
Cota, Wesley; Ferreira, Silvio C.; Pastor Satorras, Romualdo; Starnini, Michele (2019-12-09)
Article
Accés obertEcho chambers in online social networks, in which users prefer to interact only with ideologically-aligned peers, are believed to facilitate misinformation spreading and contribute to radicalize political discourse. In ... -
Random walks in non-Poissoinan activity driven temporal networks
Moinet, Antoine; Starnini, Michele; Pastor Satorras, Romualdo (2019-09-17)
Article
Accés obertThe interest in non-Markovian dynamics within the complex systems community has recently blossomed, due to a new wealth of time-resolved data pointing out the bursty dynamics of many natural and human interactions, manifested ... -
Random walks on temporal networks
Starnini, Michele; Baronchelli, Andrea; Barrat, Alain; Pastor Satorras, Romualdo (2012)
Article
Accés obertMany natural and artificial networks evolve in time. Nodes and connections appear and disappear at various time scales, and their dynamics has profound consequences for any processes in which they are involved. The first ...