This files contains 13 monolayer networks and 9 multilayer networks. You can download it directly.
Contents:
├─monolayer
│ 911.gml
│ Club.gml
│ DMLC.gml
│ Dolphins.gml
│ elegans.gml
│ Eron.gml
│ Escherichia.gml
│ Jazz.gml
│ Kite.gml
│ Lesmis.gml
│ NS.gml
│ Power.gml
│ USAir.gml
│
└─multilayer
├─CS-Aarhus
│ CS-Aarhus.edges
│ CS-Aarhus_layers.txt
│ CS-Aarhus_nodes.txt
│
├─EUAirTransportation
│ EUAirTransportation.edges
│ EUAirTransportation_layers.txt
│ EUAirTransportation_nodes.txt
│
├─humanHIV1
│ humanHIV1.edges
│ humanHIV1_genetic_layers.txt
│ humanHIV1_genetic_nodes.txt
│
├─Kapferer
│ Kapferer-Tailor-Shop_layers.txt
│ Kapferer-Tailor-Shop_nodes.txt
│ Kapferer.edges
│
├─Krackhardt
│ Krackhardt-High-Tech_layers.txt
│ Krackhardt-High-Tech_nodes.txt
│ Krackhardt.edges
│
├─Lazega
│ Lazega-Law-Firm_layers.txt
│ Lazega-Law-Firm_nodes.txt
│ Lazega.edges
│
├─LondonTransport
│ LondonTransport.edges
│ london_transport_disruptions_summary.txt
│ london_transport_layers.txt
│ london_transport_nodes.txt
│ london_transport_raw.edges
│
├─Padgett
│ Padgett-Florentine-Families_layers.txt
│ Padgett-Florentine-Families_nodes.txt
│ Padgett.edges
│
└─Vickers
Vickers-Chan-7thGraders_layers.txt
Vickers.edges
Usage:
1. Monolayer networks
All of the provided monolayer network datasets are in .gml format. If you are using Python, you can load the dataset via NetworkX library, as followings:
import networkx as nx
G = nx.read_gml('911.gml')
print(nx.info(G))
2. Multilayer networks
The 9 multilayer networks are placed in 9 folders, repectively. There are three files in each folder, with *.edges represents the edges in multilayer networks, *_layers.txt represents the layers' infomation and *_nodes.txt shows the nodes' labels. Muxviz can be employed to plot multilayer networks.
*.edges file format:
node1 layer1 node2 layer2 weight (optional)
node1 layer1 node2 layer2 weight (optional)
e.g.,
1 1 1 1 1
1 1 2 1 1
1 1 10 1 1
1 1 12 1 1
...
*_layers.txt format:
layerID layerLabel
e.g.,
1 physical_association
2 direct_interaction
3 colocalization
4 association
...
*_nodes.txt format:
nodeID nodeLabel
e.g.,
1 vpr
2 SF3B2
3 tat
4 CCNT1
...