A comprehensive survey on community detection with deep learning
Detecting a community in a network is a matter of discerning the distinct features and
connections of a group of members that are different from those in other communities. The …
connections of a group of members that are different from those in other communities. The …
The impact of the human thalamus on brain-wide information processing
The thalamus is a small, bilateral structure in the diencephalon that integrates signals from
many areas of the CNS. This critical anatomical position allows the thalamus to influence …
many areas of the CNS. This critical anatomical position allows the thalamus to influence …
Climate warming enhances microbial network complexity and stability
Unravelling the relationships between network complexity and stability under changing
climate is a challenging topic in theoretical ecology that remains understudied in the field of …
climate is a challenging topic in theoretical ecology that remains understudied in the field of …
More is different in real-world multilayer networks
M De Domenico - Nature Physics, 2023 - nature.com
The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …
patterns and dynamical processes that are well captured by network models. However, most …
Low shifts in salinity determined assembly processes and network stability of microeukaryotic plankton communities in a subtropical urban reservoir
Background Freshwater salinization may result in significant changes of microbial
community composition and diversity, with implications for ecosystem processes and …
community composition and diversity, with implications for ecosystem processes and …
Artificial intelligence in cancer target identification and drug discovery
Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …
novel drugs from biology networks because the networks can effectively preserve and …
Multiple elements of soil biodiversity drive ecosystem functions across biomes
The role of soil biodiversity in regulating multiple ecosystem functions is poorly understood,
limiting our ability to predict how soil biodiversity loss might affect human wellbeing and …
limiting our ability to predict how soil biodiversity loss might affect human wellbeing and …
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 …
Robustness and resilience of complex networks
Complex networks are ubiquitous: a cell, the human brain, a group of people and the
Internet are all examples of interconnected many-body systems characterized by …
Internet are all examples of interconnected many-body systems characterized by …
ggClusterNet: An R package for microbiome network analysis and modularity‐based multiple network layouts
The network analysis has attracted increasing attention and interest from ecological
academics, thus it is of great necessity to develop more convenient and powerful tools. For …
academics, thus it is of great necessity to develop more convenient and powerful tools. For …