Understanding the mechanisms controlling community diversity, functions, succession, and
biogeography is a central, but poorly understood, topic in ecology, particularly in microbial …

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

Modern computer-intensive statistical methods play a key role in solving many problems
across a wide range of scientific disciplines. This new edition of the bestselling …

Aim To develop a new probabilistic model that can be used to test for statistically significant
pair‐wise patterns of species co‐occurrence. The model gives the probability that two …

Random graph null models have found widespread application in diverse research
communities analyzing network datasets, including social, information, and economic …

Behavioural ecologists are increasingly using social network analysis to describe the social
organisation of animal populations and to test hypotheses. However, the statistical analysis …

SOCPROG is a set of programs which analyses data on animal associations. Data usually
come from observations of the social behaviour of individually identifiable animals …

A conceptual framework is proposed to evaluate the relative importance of beta diversity,
nestedness and agreement in species richness in presence–absence data matrices via …

1. Understanding the structure of ecological networks is a crucial task for interpreting
community and ecosystem responses to global change. 2. Despite the recent interest in this …

The analysis of ecological networks has gained a very prominent foothold in ecology over
the last years. While many publications try to elucidate patterns about the networks, others …