Brief overview of the four algorithms’ properties relevant for topic reconstruction
. | Community definition/separation-cohesion . | Degree of local and global information usage . | Hierarchies . | Overlapping . | Preference of size . | Users’ degrees of freedom . |
---|---|---|---|---|---|---|
Louvain | Dense community, focus on separation | Mainly global | Not directly | No | No | Resolution parameter, optimization function, random seed |
Leiden | Dense community, focus on separation and slightly cohesion | Global and partly local | Not directly | No | No | Resolution parameter, optimization function, random seed |
OSLOM | Statistically significant community, cohesion likely, separation not an issue | Local and partly global | Yes | Pervasive | No | Coverage parameter, p-value, random seed, singletons |
Infomap | Nodes’ closeness, focus on separation | Mainly global | Yes | In boundaries | No | Two- or multilevel solution, detection of overlaps, random seed |
. | Community definition/separation-cohesion . | Degree of local and global information usage . | Hierarchies . | Overlapping . | Preference of size . | Users’ degrees of freedom . |
---|---|---|---|---|---|---|
Louvain | Dense community, focus on separation | Mainly global | Not directly | No | No | Resolution parameter, optimization function, random seed |
Leiden | Dense community, focus on separation and slightly cohesion | Global and partly local | Not directly | No | No | Resolution parameter, optimization function, random seed |
OSLOM | Statistically significant community, cohesion likely, separation not an issue | Local and partly global | Yes | Pervasive | No | Coverage parameter, p-value, random seed, singletons |
Infomap | Nodes’ closeness, focus on separation | Mainly global | Yes | In boundaries | No | Two- or multilevel solution, detection of overlaps, random seed |