SEARCH

SEARCH BY CITATION

REFERENCES

  • Chung, C.J., Gruzd, A., Park, H.W. (2010). Developing an e-Research Tool for Humanities and Social Sciences: Korean Internet Network Miner on Blogosphere. Journal of Humanities 60(12): 429446. ISSN 1598–2211.
  • D'Hertefelt, S. (2000). Emerging and Future Usability Challenges: Designing User Experiences and User Communities. Retrieved April 3, 2012 from http://www.interactionarchitect.com/future/vision20000202shd.htm
  • Gibbs, W. J., & McKendrick, J. E. (2011). Proposed Techniques for Data Collections and Analysis in the Study of News-oriented Virtual Communities. In Ben Kei Daniel (Ed.), Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena. IGI Global, pp. 568584.
  • Gruzd, A. (2011). Studying Virtual Communities with the Internet Community Text Analyzer (ICTA). In Ben Kei Daniel (Ed.), Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena. IGI Global, pp. 205223.
  • Gruzd, A. (20091). Studying Collaborative Learning Using Name Networks. Journal of Education for Library and Information Science 50(4): 243253.
  • Gruzd, A. (2009a). Automated Discovery of Emerging Online Communities Among Blog Readers: A Case Study of a Canadian Real Estate Blog. Proceedings of the Internet Research 10.0 Conference, October 7–11, 2009, Milwaukee, WI, USA. Available at http://dalspace.library.dal.ca/handle/10222/12831
  • Gruzd, A., Wellman, B., and Takhteyev, Y. (2011). Imagining Twitter as an Imagined Community. American Behavioral Scientist 55 (10): 12941318, DOI:10.1177/0002764211409378
  • Hampton, K.N. (2010). Internet Use and the Concentration of Disadvantage: Glocalization and the Urban Underclass, American Behavioral Scientist 53(8): 11111132.
  • Haythornthwaite, C. & Gruzd, A. (2008). Analyzing Networked Learning Texts. Proceedings of Networked Learning Conference, Halkidiki, Greece, May 5–6, 2008, pp. 136143.
  • Herring, S. (2001). Computer-mediated discourse. In D. Tannen, D. Schiffrin, and H. Hamilton, (Eds.) Handbook of discourse analysis (pp. 612634). Oxford, UK: Blackwell.
  • Jansen, B. J., Spink, A., Bateman, J., & Saracevic, T. (1998). Real life information retrieval: a study of user queries on the Web, ACM SIGIR Forum: ACM New York, NY, USA.
  • Liu, X. (2009). Using computational community interest as an indicator for ranking. In Proceedings of the 32th Annual International ACM SIGIR Conference on Information Retrieval
  • Liu, X. & von Brzeski, V. (2009). Computational community interest for ranking. In Proceedings of the 18th ACM conference on Information and knowledge management
  • Macdonald, C., Ounis, I., & Soboroff, I. (2008). Overview of the TREC-2007 Blog Track. In Proceedings of TREC 2007.
  • Martin, J.G. (2011). Two Roads to Middle-earth Converge: Observing Text-based and Film-based Mental Images from TheOneRing.net Online Fan Community. Master's thesis, Dalhousie University, Available at http://dalspace.library.dal.ca/handle/10222/14242.
  • Meyers, E.M. (2012). Understanding learning and literacy practices in YouTube using discourse analysis. American Educational Research Association (AERA '12) Conference, April 13–17, 2012. Vancouver, BC Canada.
  • Severson, K. (2011). Davis is Executed in Georgia. Retrieved April 3, 2012 from http://www.nytimes.com/2011/09/22/us/final-pleas-and-vigils-in-troy-davis-execution.html?_r=l&scp=l&sq=Davis%20is%20executed%20in%20Geogria%20after%20&st=cse
  • Ounis, I., de Rijke, M., Macdonald, C., Mishne, G. & Soboroff, I. (2007). Overviewof the TREC 2006 Blog Track. In Proceedings of TREC 2006.
  • U.S. Census Bureau. Census Bureau Regions and Divisions with State FIPS Codes. Retrieved April 3, 2012 from http://www.census.gov/geo/www/us_regdiv.pdf
  • YouTube (2012). Press room. Retrieved April 18, 2012 from http://www.youtube.com/t/press