Statistical inference links data and theory in network science
The number of network science applications across many different fields has been rapidly
increasing. Surprisingly, the development of theory and domain-specific applications often …
increasing. Surprisingly, the development of theory and domain-specific applications often …
[HTML][HTML] Can co-location be used as a proxy for face-to-face contacts?
Technological advances have led to a strong increase in the number of data collection
efforts aimed at measuring co-presence of individuals at different spatial resolutions. It is …
efforts aimed at measuring co-presence of individuals at different spatial resolutions. It is …
Complex social networks are missing in the dominant COVID-19 epidemic models
G Manzo - Sociologica, 2020 - sociologica.unibo.it
In the COVID-19 crisis, compartmental models have been largely used to predict the
macroscopic dynamics of infections and deaths and to assess different non-pharmaceutical …
macroscopic dynamics of infections and deaths and to assess different non-pharmaceutical …
Spatial immunization to abate disease spreading in transportation hubs
Proximity social interactions are crucial for infectious diseases transmission. Crowded
agglomerations pose serious risk of triggering superspreading events. Locations like …
agglomerations pose serious risk of triggering superspreading events. Locations like …
Tensorial and bipartite block models for link prediction in layered networks and temporal networks
M Tarrés-Deulofeu, A Godoy-Lorite, R Guimerà… - Physical Review E, 2019 - APS
Many real-world complex systems are well represented as multilayer networks; predicting
interactions in those systems is one of the most pressing problems in predictive network …
interactions in those systems is one of the most pressing problems in predictive network …
Mobility helps problem-solving systems to avoid groupthink
Groupthink occurs when everyone in a group starts thinking alike, as when people put
unlimited faith in a leader. Avoiding this phenomenon is a ubiquitous challenge to problem …
unlimited faith in a leader. Avoiding this phenomenon is a ubiquitous challenge to problem …
Effects of incomplete inter-hospital network data on the assessment of transmission dynamics of hospital-acquired infections
H Xia, J Horn, MJ Piotrowska, K Sakowski… - PLOS Computational …, 2021 - journals.plos.org
In the year 2020, there were 105 different statutory insurance companies in Germany with
heterogeneous regional coverage. Obtaining data from all insurance companies is …
heterogeneous regional coverage. Obtaining data from all insurance companies is …
Non-markovian temporal networks with auto-and cross-correlated link dynamics
Many of the biological, social and man-made networks around us are inherently dynamic,
with their links switching on and off over time. The evolution of these networks is often …
with their links switching on and off over time. The evolution of these networks is often …
[图书][B] Prediction of drug interaction and adverse reactions, with data from electronic health records, clinical reporting, scientific literature, and social media, using …
RB Correia - 2019 - search.proquest.com
Human health conditions, such as adverse drug reactions (ADR) caused by drug-drug
interactions (DDI), are too complex to be tackled effectively by a single domain of expertise …
interactions (DDI), are too complex to be tackled effectively by a single domain of expertise …
Reporting delays: A widely neglected impact factor in COVID-19 forecasts
Epidemic forecasts are only as good as the accuracy of epidemic measurements. Is
epidemic data, particularly COVID-19 epidemic data, clean, and devoid of noise? The …
epidemic data, particularly COVID-19 epidemic data, clean, and devoid of noise? The …