The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

Metagenomics and 16S pyrosequencing have enabled the study of ecosystem structure and
dynamics to great depth and accuracy. Co-occurrence and correlation patterns found in …

There is a rich amount of information in co‐occurrence (presence–absence) data that could
be used to understand community assembly. This proposition first envisioned by Forbes …

Soil ecology is witnessing exponential growth in the number of studies using co-occurrence
network analysis. Researchers reconstruct networks based on the co-occurrence of taxa or …

Understanding the processes that are driving variation of natural microbial communities
across space or time is a major challenge for ecologists. Environmental conditions strongly …

Here we present the Cytoscape app version of our association network inference tool
CoNet. Though CoNet was developed with microbial community data from sequencing …

Background A survey of presences and absences of specific species across multiple
biogeographic units (or bioregions) are used in a broad area of biological studies from …

The observed architecture of ecological and socio-economic networks differssignificantly
from that of random networks. From a network science standpoint, non-random structural …

Aim Recent studies increasingly use statistical methods to infer biotic interactions from co‐
occurrence information at a large spatial scale. However, disentangling biotic interactions …

Hutchinson's n‐dimensional hypervolume concept for the interpretation of niches as
geometric shapes has provided a foundation for research across different fields of ecology …