CElegans_Multiplex_Neuronal.zip
Year: 2022
Type: dataset
Abstract: The dataset representing the multiplex neuronal network of the nematode "Caenorhabditis Elegans". If you use this dataset in your work either for analysis or for visualization, you should acknowledge/cite the following papers: “Wiring optimization can relate neuronal structure and function” Beth L. Chen, David H. Hall, and Dmitri B. Chklovskii PNAS 2006 103 (12) 4723–4728 “MuxViz: A Tool for Multilayer Analysis and Visualization of Networks” Manlio De Domenico, Mason A. Porter, and Alex Arenas Journal of Complex Networks 2015 3 (2) 159-176 that can be found at the following URLs: This work has been supported by European Commission FET-Proactive project PLEXMATH (Grant No. 317614), the European project devoted to the investigation of multi-level complex systems and has been developed at the Alephsys Lab. Visit PLEXMATH: ALEPHSYS: for further details. Caenorhabditis elegans connectome, where the multiplex consists of layers corresponding to different synaptic junctions: electric (“ElectrJ”), chemical monadic (“MonoSyn”), and polyadic (“PolySyn”). The multiplex network used in the paper makes use of three layers corresponding to: 1. Electric (“ElectrJ”) 2. Chemical Monadic (“MonoSyn”) 3. Chemical Polyadic (“PolySyn”) There are 279 nodes, labelled with integer ID between 1 and 279, and 5863 synaptic connections. The multiplex is undirected (with only one direction specified) and unweighted, stored as edges list in the file celegans_connectome_multiplex.edges with format layerID nodeID nodeID weight (Note: weight is 1 for all edges) The IDs of all layers are stored in celegans_connectome_layers.txt The IDs of nodes, together with their name can be found in the file celegans_connectome_nodes.txt
Source: Figshare
Author: Wang, Dan
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4394400957