Table 1 Software packages for social network analysis
From: When social computing meets soft computing: opportunities and insights
No | General software packages | Specialized software packages |
|---|---|---|
Type | Academic/free | Academic/free |
1 | Agna Applied graph and network analysis | Blanche Network dynamics |
2 | DyNet (SE and LS) [91] Data-driven visualizations | CID-ABM Competing idea diffusion agent based model |
3 | GUESS The graph exploration system | CFinder [92] Finding and visualizing dense groups |
4 | Pajek [93] Program for large network analysis | Commetrix [94] Dynamic network visualization and analysis |
5 | NodeXL [95]: viewing and analyzing network graphs | PGRAPH [96]: Kinship networks |
6 | igraph (R, Python, C) [97] Creating and manipulating graphs | SONIVIS Analyzing and visualizing virtual information space |
7 | NetVis [98]: dynamic visualization of social networks | E-Net [99]: Ego-NETwork analysis |
8 | ORA [100]: dynamic network analysis | EgoNet [101]: egocentric networks |
9 | SocNetV: social networks visualiser | KeyPlayer [102]: identifying nodes |
10 | UCINET 6 [103] Comprehensive social network analysis software | KliqFinder: cohesive subgroups |
11 | visone: analyis and visualization of social networks | Network genie: network surveys |
12 | JUNG (Java): Java Universal Network/graph framework | PNet: exponential random graph models (ERGMs) |
13 | libSNA (Python) Open-source library for social network analysis | SONIVIS Analyzing and visualizing virtual information spaces |
14 | NetworkX (Python) [104]: package for complex networks | StOCNET [105]: statistical analysis |