Finding meaning in online, very-large scale conversations

Brian K. Smith, Priya Sharma, Kyu Yon Lim, Goknur Kaplan Akilli, Kyoungna Kim, Toru Fujimoto, Paula Hooper

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Computers and networking technologies have led to increases in the development and sustenance of online communities, and much research has focused on examining the formation of and interactions within these virtual communities. The methods for collecting data and analyzing virtual online communities, especially very large-scale online discussion forums can be varied and complex. In this chapter, we describe two analytical methods-qualitative data analysis and Social Network Analysis (SNA)-that we used to examine conversations within ESPN's Fast Break community, which focuses on fantasy basketball sports games. Two different levels of analyses-the individual and community level-allowed us to examine individual reflection on game strategy and decision-making as well as characteristics of the community and patterns of interactions between participants within community. The description of our use of these two analytical methods can help researchers and designers who may be attempting to analyze and characterize other large-scale virtual communities.

Original languageEnglish (US)
Title of host publicationHandbook of Research on Web Log Analysis
PublisherIGI Global
Pages307-327
Number of pages21
ISBN (Print)9781599049748
DOIs
StatePublished - Dec 1 2008

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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    Smith, B. K., Sharma, P., Lim, K. Y., Akilli, G. K., Kim, K., Fujimoto, T., & Hooper, P. (2008). Finding meaning in online, very-large scale conversations. In Handbook of Research on Web Log Analysis (pp. 307-327). IGI Global. https://doi.org/10.4018/978-1-59904-974-8.ch015