The effect of community structure on the functioning of the ecosystem is an important issue in ecology due to continuing global species loss. The influence of infaunal community structure on the functioning of marine systems is proposed here to act primarily through bioturbation of the sediment. Nutrient concentration in the water column, generated by release from the sediment, was used as a me...

We present a new layout algorithm for complex networks that combines a multi-scale approach for community detection with a standard forcedirected design. Since community detection is computationally cheap, we can exploit the multi-scale approach to generate network configurations with close-to-minimal energy very fast. As a further asset, we can use the knowledge of the community structure to f...

The observation that real complex networks have internal structure has important implication for dynamic processes occurring on such topologies. Here we investigate the impact of community structure on a model of information transfer able to deal with both search and congestion simultaneously. We show that networks with fuzzy community structure are more efficient in terms of packet delivery th...

1 Western Michigan University, Department of Biological Sciences, Kalamazoo, 9 Michigan 49008-5410, USA 10 2 Oklahoma State University, T. Boone Pickens School of Geology, 105 Noble Research 11 Center, Stillwater, OK 74078-3031, USA 12 3 U.S. Environmental Protection Agency, ORD, NERL, ESD, CMB, Las Vegas, Nevada, 13 89119. 14 ∆ Current Address: U.S. Geological Survey, 6520 Mercantile Way, Suit...

The investigation of community structure in networks is a task of great importance in many disciplines, namely physics, sociology, biology and computer science where systems are often represented as graphs. One of the challenges is to find local communities from a local viewpoint in a graph without global information in order to reproduce the subjective hierarchical vision for each vertex. In t...

Bipartite networks are a common type of network data in which there are two types of vertices, and only vertices of different types can be connected. While bipartite networks exhibit community structure like their unipartite counterparts, existing approaches to bipartite community detection have drawbacks, including implicit parameter choices, loss of information through one-mode projections, a...

Recurrent wildWres constitute a major selecting force in shaping the structure of plant communities. At the regional scale, Wre favours phenotypic and phylogenetic clustering in Mediterranean woody plant communities. Nevertheless, the incidence of Wre within a Wre-prone region may present strong variations at the local, landscape scale. This study tests the prediction that woody communities on ...

Many models of local species interactions predict the occurrence of priority effects due to alternative stable equilibria (ASE). However, few empirical examples of ASE have been shown. One possible explanation for the disparity is that local ASE are difficult to maintain regionally in patch dynamic models. Here we examine two possible mechanisms for regional coexistence of species engaged in lo...

We propose and study a set of algorithms for discovering community structure in networks-natural divisions of network nodes into densely connected subgroups. Our algorithms all share two definitive features: first, they involve iterative removal of edges from the network to split it into communities, the edges removed being identified using any one of a number of possible "betweenness" measures...

A hierarchical divisive algorithm is proposed for identifying communities in complex networks. To that effect, the definition of community in the weak sense of Radicchi [Proc. Natl. Acad. Sci. U.S.A. 101, 2658 (2004)] is extended into a criterion for a bipartition to be optimal: one seeks to maximize the minimum for both classes of the bipartition of the ratio of inner edges to cut edges. A mat...