DEMON

DEMON is a local-first approach to community discovery, able to unveil the modular organization of real complex networks. This is achieved by democratically letting each node vote for the communities it sees surrounding it in its limited view of the global system, i.e. its ego neighborhood, using a label propagation algorithm; finally, the local communities are merged into a global collection.

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Additional Info
Field Value
Accessibility Both
AccessibilityMode Download
Area
Attribution requirements
Availability On-Line
Basic rights Download
CreationDate 2016-09-01
Creator Rossetti, Giulio, giulio.rossetti@isti.cnr.it, orcid.org//0000-0003-3373-1240
Dependencies on Other SW
Distribution requirements
External Identifier
Field/Scope of use Any use
GitHub repository https://github.com/GiulioRossetti/DEMON
Hosting Environment
IP/Copyrights
Item URL http://data.d4science.org/ctlg/ResourceCatalogue/demon
http://data.d4science.org/ctlg/ResourceCatalogue/demon
License term
Owner Rossetti, Giulio, giulio.rossetti@isti.cnr.it, orcid.org//0000-0003-3373-1240
ProgrammingLanguage Python
RelatedPaper Coscia, Michele; Rossetti, Giulio; Giannotti, Fosca; Pedreschi, Dino Uncovering Hierarchical and Overlapping Communities with a Local-First Approach. ACM Transactions on Knowledge Discovery from Data (TKDD), 9 (1), 2014.
Requirement of non-disclosure (confidentiality mark)
Restrictions on use
Semantic Coverage
Sublicense rights No
Territory of use World Wide
ThematicCluster Social Network Analysis
UsageMode Download
input CSV: edgelist file
output Plain text file
system:type SoBigData.eu: Method
Management Info
Field Value
Author Rossetti Giulio
Maintainer Rossetti Giulio
Version 1
Last Updated 20 March 2018, 18:46 (CET)
Created 22 September 2016, 12:04 (CEST)