TY - JOUR
T1 - The puzzling affinity between modularity and dependence asymmetry
AU - Corso, Gilberto
AU - Britton, N. F.
PY - 2014/12/1
Y1 - 2014/12/1
N2 - We discuss the relationship between two patterns found in interaction networks ( INs) of community ecology: modularity and asymmetric specialisation. These two patterns express two opposite features: asymmetric specialisation suggests an interplay of generalists and specialists forming an entangled web of interconnected species, while modularity brings the idea of groups of species interacting in isolated cliques. We perform the analysis using Dependence Asymmetry ( DA), which is the simplest way to quantify asymmetric specialisation. We construct an algorithm that finds the pattern of maximal DA, and we estimate the upper bound of DA analytically. We study the symmetric modular structure that has zero DA, and then force an asymmetric mismatch in this pattern to generate high DA, allowing us to compare it with a random pattern and with the maximal possible value. We conclude that, despite the opposite notions suggested by the studied patterns, if a modular pattern has enough asymmetry it resembles a specialised asymmetric pattern.
AB - We discuss the relationship between two patterns found in interaction networks ( INs) of community ecology: modularity and asymmetric specialisation. These two patterns express two opposite features: asymmetric specialisation suggests an interplay of generalists and specialists forming an entangled web of interconnected species, while modularity brings the idea of groups of species interacting in isolated cliques. We perform the analysis using Dependence Asymmetry ( DA), which is the simplest way to quantify asymmetric specialisation. We construct an algorithm that finds the pattern of maximal DA, and we estimate the upper bound of DA analytically. We study the symmetric modular structure that has zero DA, and then force an asymmetric mismatch in this pattern to generate high DA, allowing us to compare it with a random pattern and with the maximal possible value. We conclude that, despite the opposite notions suggested by the studied patterns, if a modular pattern has enough asymmetry it resembles a specialised asymmetric pattern.
KW - Asymmetric specialisation
KW - Bipartite networks
KW - Community ecology
KW - Dependence asymmetry
KW - Interaction networks
KW - Modularity
KW - Nestedness
UR - http://www.scopus.com/inward/record.url?scp=84918562257&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1016/j.ecocom.2014.04.003
U2 - 10.1016/j.ecocom.2014.04.003
DO - 10.1016/j.ecocom.2014.04.003
M3 - Article
AN - SCOPUS:84918562257
SN - 1476-945X
VL - 20
SP - 195
EP - 200
JO - Ecological Complexity
JF - Ecological Complexity
ER -