In view of the analysis of the structural characteristics of the multilayer network (species-sharing species-other species) has been complete, however, there is still a lack of a unified operation that can quickly obtain the corresponding characteristics of the multilayer network and explore Mesoscale structure of the network (motif). To solve this insufficiency, ‘ILSM’ was designed for supporting calculating such metrics of multilayer networks by functions of R package.
The visualization of multilayer interaction network:
You can install the development version of ILSM from GitHub:
In multilayer network, 44 types of motifs of nodes ranging from 3 to 6 are shown. The green squares, cyan circles, and blue squares represent the first, second, and third layers of the network, respectively. The graph in the first row represents only one node in the middle layer with increasing complexity, similarly, the graph in the second to fourth rows represents a motif with two nodes in the middle layer, and finally the motif in the fifth row represents a motif with three nodes node in the middle layer, which also tends to be the most complex. The numbers “1” to “65” in the cyan circle represent the roles in which the 65 nodes are located.
This is a basic example which shows you how to solve a common problem:
library(ILSM)
## generate a network
set.seed(12)
N <- build_net(11,15,16,0.2)
## calculate the frequency of motifs
motif_count(N)
## measure the roles of intermediate-layer node
Midlayer_role(N)
## interconnection pattern
subnet_cor(N)
Psc(N)
Prc(N)
Hc(N)
## examine node versatility
Node_versatility(N)The code is released under the MIT license (see LICENSE file).
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