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Network ecology in dynamic landscapes
MJ Fortin, MRT Dale… - Proceedings of the …, 2021 - royalsocietypublishing.org
Network ecology is an emerging field that allows researchers to conceptualize and analyse
ecological networks and their dynamics. Here, we focus on the dynamics of ecological …
ecological networks and their dynamics. Here, we focus on the dynamics of ecological …
Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics
Functional interactions between brain regions can be viewed as a network, enabling
neuroscientists to investigate brain function through network science. Here, we …
neuroscientists to investigate brain function through network science. Here, we …
Comparing methods for comparing networks
With the impressive growth of available data and the flexibility of network modelling, the
problem of devising effective quantitative methods for the comparison of networks arises …
problem of devising effective quantitative methods for the comparison of networks arises …
Network analysis of time series: Novel approaches to network neuroscience
In the last two decades, there has been an explosion of interest in modeling the brain as a
network, where nodes correspond variously to brain regions or neurons, and edges …
network, where nodes correspond variously to brain regions or neurons, and edges …
[HTML][HTML] An empirical study of emoji usage on Twitter in linguistic and national contexts
Emojis or 'picture characters' have become ubiquitous in modern-day digital communication,
including social media sharing and smartphone texting. Despite this ubiquity, many …
including social media sharing and smartphone texting. Despite this ubiquity, many …
Combining network topology and information theory to construct representative brain networks
Network neuroscience employs graph theory to investigate the human brain as a complex
network, and derive generalizable insights about the brain's network properties. However …
network, and derive generalizable insights about the brain's network properties. However …
Root cause analysis for microservice systems via hierarchical reinforcement learning from human feedback
In microservice systems, the identification of root causes of anomalies is imperative for
service reliability and business impact. This process is typically divided into two phases:(i) …
service reliability and business impact. This process is typically divided into two phases:(i) …
Topology comparison of Twitter diffusion networks effectively reveals misleading information
In recent years, malicious information had an explosive growth in social media, with serious
social and political backlashes. Recent important studies, featuring large-scale analyses …
social and political backlashes. Recent important studies, featuring large-scale analyses …
A novel approach to measuring science-technology linkage: From the perspective of knowledge network coupling
Identifying and measuring science-technology linkage is important for understanding
interactions between science and technology (S&T). Previous studies have focused mainly …
interactions between science and technology (S&T). Previous studies have focused mainly …
Network comparison and the within-ensemble graph distance
Quantifying the differences between networks is a challenging and ever-present problem in
network science. In recent years, a multitude of diverse, ad hoc solutions to this problem …
network science. In recent years, a multitude of diverse, ad hoc solutions to this problem …