Research with Netlytic

How to cite Neltytic in your publication:
Gruzd, A. (2016). Netlytic: Software for Automated Text and Social Network Analysis. Available at

Netlytic has successfully been used  to analyze a wide variety of online communities and networks including: learning communities [1,2], communities of bloggers and blog readers [3,4], communities emerging on the i-Neighbors website [5], a scholarly community on Twitter [6] and most recently a community of Tolkien’s fan on the the popular website, TheOneRing.neta website dedicated to discussions of Tolkien’s (text) and Peter Jackson’s (film) versions of The Lord of the Rings [7-8].

[1] Caroline Haythornthwaite and Anatoliy Gruzd. “Analyzing Networked Learning Texts.” Proceedings of Networked Learning Conference (2008): 136-143;

[2] Anatoliy Gruzd, “Studying Collaborative Learning Using Name Networks.” Journal of Education for Library and Information Science 50, no. 4 (2009): 243-253;

[3] Anatoliy Gruzd, “Automated Discovery of Emerging Online Communities Among Blog Readers: A Case Study of a Canadian Real Estate Blog,” (conference paper, Internet Research 10.0 Conference, Milwaukee, WI, October 7-11, 2009);

[4] Chung Joo Chung, Anatoliy Gruzd, and Han Woo Park, “Developing an e-Research Tool for Humanities and Social Sciences: Korean Interent Network Miner on Blogosphere,” Journal of Humanities 60, no.12 (2010): 429-446.

[5] Keith N. Hampton, “Internet Use and the Concentration of Disadvantage: Glocalization and the Urban Underclass,”American Behavioral Scientist 53, no. 8 (2010): 1111-1132.

[6] Anatoliy Gruzd, Yuri Takhteyev, and Barry Wellman. “Imagining Twitter as an Imagined Community.” American Behavioral Scientist, Special Issue on Imagined Communities 55, no. 10 (2011): 1294-1318.

[7] Jennifer Grek Martin, “Two Roads to Middle-earth Converge: Observing Text-based and Film-based Mental Images from Online Fan Community.” (master’s thesis, Dalhousie University, 2011).

[8] Martin, J.M.G., Gruzd, A., Howard, V. (2013). Navigating an imagined Middle–earth: Finding and analyzing text–based and film–based mental images of Middle–earth through online fan community.  First Monday18(5 – 6). DOI: 10.5210%2Ffm.v18i5.4529