| Tool name | Features | Toll | link |
| networkx | Python network analysis library. Advantages : relatively simple to use; Disadvantages : The performance is not good enough, the speed is slow, and it is not suitable for processing networks with a large amount of data. |
free | Official website: http://networkx.lanl.gov/ |
| igraph | C/C++/R language/Python network analysis library. |
Open source | Official website: http:/ /igraph.sourceforge.net/ |
| pajeck | Complex network analysis software with mouse clicks Advantages : The software is simple and easy to use, has good visualization effects and high calculation efficiency; |
free | Official website: http://vlado.fmf.uni-lj.si/pub/networks/pajek/ |
| gephi | Mouse clickable network visualization tool Advantages : good visualization effect; easy to operate interface, quick to get started; Disadvantages : The network analysis function is weak. |
Open source | Official website: https://gephi.org/ github address: https://github.com/gephi/gephi |
| Ucinet | Mouse clickable network analysis tool Advantages : simple operation; complete calculation and analysis functions; Disadvantages : The visualization function is weak. |
commercial software 60 days free |
Official website: http://www.analytictech.com/ucinet/ |
Some commonly used public data sets are organized (reproduced from: https://www.cnblogs.com/maybe2030/p/4665847.html ):
Pajek (visualization tool) data set: http://vladowiki.fmf.uni-lj.si/doku.php?id=pajek:data:index;
Newman (big cow in the field of complex network science) personal data set: http://www-personal.umich.edu/~mejn/netdata/
Stanford University large-scale network data set: http://snap.stanford.edu/data/
Fudan University Network Data Set: http://gdm.fudan.edu.cn/GDMWiki/Wiki.jsp?page=Network%20DataSet
KONECT data set collation: http://konect.uni-koblenz.de/