Microbial networks are an increasingly popular tool to investigate microbial community
structure, as they integrate multiple types of information and may represent systems-level …

Network modeling, from the ecological to the molecular scale has become an essential tool
for studying the structure, dynamics and complex behavior of living systems. Graph …

We consider the problem of detecting communities or modules in networks, groups of
vertices with a higher-than-average density of edges connecting them. Previous work …

Differential expression (DE) is commonly used to explore molecular mechanisms of
biological conditions. While many studies report significant results between their groups of …

Many natural and artificial networks evolve in time. Nodes and connections appear and
disappear at various time scales, and their dynamics has profound consequences for any …

Community detection, the division of a network into dense subnetworks with only sparse
connections between them, has been a topic of vigorous study in recent years. However …

Complex networks are typically not homogeneous, as they tend to display an array of
structures at different scales. A feature that has attracted a lot of research is their modular …

Microbial network construction and analysis is an important tool in microbial ecology. Such
networks are often constructed from statistically inferred associations and may not represent …

Based on a signaling process of complex networks, a method for identification of community
structure is proposed. For a network with n nodes, every node is assumed to be a system …

Significance The findings to date indicate that adverse childhood experiences (ACEs)
increase the risk of cardiovascular disease (CVD) in later life. We demonstrate how network …