Browsing by Author "Starnini, Michele"
Now showing items 1-20 of 39
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Aging and percolation dynamics in a Non-Poissonian temporal network model
(2016-08-24)
Article
Open AccessWe 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
(2015-03-13)
Article
Open AccessThe 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
(Springer, 2024-02-20)
Article
Open AccessFrom 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
(JMIR, 2020-10-12)
Article
Open AccessBackground: 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
(Institute of Physics (IOP), 2011-05-06)
Article
Open AccessRecently, 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
(Public Library of Science (PLOS), 2021-04-26)
Article
Open AccessVaccine 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
(Macmillan Publishers, 2017-08-17)
Article
Open AccessMulti-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
(Nature, 2016-08-30)
Article
Open AccessMulti-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
(2021-01-20)
Article
Open AccessOpinion 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
(American Physical Society, 2022-12-05)
Article
Open AccessMost 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
(Nature, 2018-02-05)
Article
Open AccessWe 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
(American Institute of Physics (AIP), 2017-03-24)
Article
Open AccessA 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
(American Physical Society, 2020-09-01)
Article
Open AccessBackground: 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
(Springer, 2013)
Part of book or chapter of book
Restricted access - publisher's policyThis 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
(2019-05-01)
Article
Open AccessWe 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
(2023-01-01)
Article
Open AccessBackground: 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
(2013)
Article
Open Accesspreading 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
(Cambridge University Press, 2021-10-28)
Article
Open AccessEvaluating 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
(American Physical Society, 2020-11-16)
Article
Open AccessLink 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
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-11-01)
Article
Open AccessThyroid 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 ...
