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The architecture of complex weighted networks.
TLDR
This work studies the scientific collaboration network and the world-wide air-transportation network, which are representative examples of social and large infrastructure systems, respectively, and defines appropriate metrics combining weighted and topological observables that enable it to characterize the complex statistical properties and heterogeneity of the actual strength of edges and vertices. Expand
Dynamical Processes on Complex Networks
TLDR
A new and recent account presents a comprehensive explanation of the effect of complex connectivity patterns on dynamical phenomena in a vast number of everyday systems that can be represented as large complex networks. Expand
What's in a crowd? Analysis of face-to-face behavioral networks
TLDR
Data on the time-resolved face-to-face proximity of individuals in large-scale real-world scenarios is analyzed to investigate the dynamics of a susceptible-infected model for epidemic spreading that unfolds on the dynamical networks of human proximity. Expand
Decentralized Privacy-Preserving Proximity Tracing
TLDR
This system, referred to as DP3T, provides a technological foundation to help slow the spread of SARS-CoV-2 by simplifying and accelerating the process of notifying people who might have been exposed to the virus so that they can take appropriate measures to break its transmission chain. Expand
Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks
TLDR
A scalable experimental framework for gathering real-time data resolving face-to-face social interactions with tunable spatial and temporal granularities is presented and shows an interesting super-linear behavior, which indicates the possibility of defining super-connectors both in the number and intensity of connections. Expand
High-Resolution Measurements of Face-to-Face Contact Patterns in a Primary School
TLDR
The results can help define a prioritization of control measures based on preventive measures, case isolation, classes and school closures, that could reduce the disruption to education during epidemics. Expand
Weighted evolving networks: coupling topology and weight dynamics.
TLDR
A model for the growth of weighted networks that couples the establishment of new edges and vertices and the weights' dynamical evolution and yields a nontrivial time evolution of vertices' properties and scale-free behavior for the weight, strength, and degree distributions. Expand
On the properties of small-world network models
Abstract:We study the small-world networks recently introduced by Watts and Strogatz [Nature 393, 440 (1998)], using analytical as well as numerical tools. We characterize the geometrical propertiesExpand
Velocity and hierarchical spread of epidemic outbreaks in scale-free networks.
TLDR
This work studies the effect of the connectivity pattern of complex networks on the propagation dynamics of epidemics, indicating that epidemics spread almost instantaneously in networks with scale-free degree distributions. Expand
Contact Patterns among High School Students
TLDR
The interest of the present analysis and data sets for various fields are discussed, including in social sciences in to better understand and model human behavior and interactions in different contexts, and in epidemiology in order to inform models describing the spread of infectious diseases and design targeted containment strategies. Expand
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