NodeXL is a network analysis and visualization software package for Microsoft Excel 2007/2010/2013/2016.[2][3] The package is similar to other network visualization tools such as Pajek, UCINet, and Gephi.[4] It is widely applied in ring, mapping of vertex and edge, and customizable visual attributes and tags. NodeXL enables researchers to undertake social network analysis work metrics such as centrality, degree, and clustering, as well as monitor relational data and describe the overall relational network structure. When applied to Twitter data analysis, it showed the total network of all users participating in public discussion and its internal structure through data mining. It allows social Network analysis (SNA) to emphasize the relationships rather than the isolated individuals or organizations, allowing interested parties to investigate the two-way dialogue between organizations and the public. SNA also provides a flexible measurement system and parameter selection to confirm the influential nodes in the network, such as in-degree and out-degree centrality.[5] The software contains network visualization, social network analysis features, access to social media network data importers, advanced network metrics, and automation.
^Smith, Marc A.; Shneiderman, Ben; Milic-Frayling, Natasa; Rorigues, Eduarda; Barash, Vladimir; Dunne, Cody; Capone, Tony; Perer, Adam; Gleave, Eric (2009), "Analyzing (Social media) networks with NodeXL", Proceedings of the fourth international conference on Communities and technologies, ACM, pp. 255–264, CiteSeerX10.1.1.147.5521, doi:10.1145/1556460.1556497, ISBN978-1-60558-713-4, S2CID207173208
^Hansen, Derek L.; Shneiderman, Ben; Smith, Marc (2010), Analyzing social media networks with NodeXL: Insights from a Connected World, Morgan Kaufmann, ISBN9780123822291
^Marin, Alexandra; Wellman, Barry (2011), "Social network analysis: An Introduction", The Sage Handbook of Social Network Analysis, London, UK: Sage, pp. 11–25, ISBN9781847873958, ...social network analysts have developed a number of software applications to analyze social network data. The most commonly used are: Pajek, UCINet, MultiNet, Siena, P*/ERGM, R, and NodeXL