Although networks provide a powerful approach to study a large variety of ecological
systems, their formulation does not typically account for multiple interaction types …

Ecosystems represent archetypal complex dynamical systems, often modelled by coupled
differential equations of the form dxidt= xi ϕ i (x 1,…, x N), where N represents the number of …

Abstract Models of strategy evolution on static networks help us understand how population
structure can promote the spread of traits like cooperation. One key mechanism is the …

Aim Despite recent calls for integrating interaction networks into the study of large‐scale
biodiversity patterns, we still lack a basic understanding of the functional characteristics of …

Using bipartite to describe and plot two-mode networks in R Page 1 Using bipartite to describe
and plot two-mode networks in R Carsten F. Dormann Biometry & Environmental System …

Mutualistic networks are highly dynamic, characterized by high temporal turnover of species
and interactions. Yet, we have a limited understanding of how the internal structure of these …

This work proposes and tests a framework to better understand and assist the management
of sustainability-related tensions within recycling cooperatives. The framework is based on a …

The study of social-ecological networks (SENs) has mainly approached nature through a
modern and functional to capitalism conception, ie a matrix over which human societies …

Networks have been widely used to describe a range of biotic interactions in ecosystems;
topological indicators of ecological networks provide systematic way to characterize patterns …

Objective: To analyze how support organizations act on governance, specifically on
competitive factors: cluster-oriented outcome strategies, and evolutionary character through …