, Volume 19, Issue 1, pp 84–92 | Cite as

The dynamism of 2channel

  • Naohiro Matsumura
  • Asako Miura
  • Yasufumi Shibanai
  • Yukio Ohsawa
  • Toyoaki Nishida
Applications in Online Communities


“2channel” is the most popular online-community site in Japan, where millions of people are discussing or chitchatting about various topics. The communication in 2channel shows dynamic social phenomena such as positive/negative communication, polarization of opinions, slander called flaming, etc. In this paper, we assume the existence of underlying prevailing structures that motivate people’s participation. The structural equation model of 2channel, which is obtained on the basis of observed collective actions about people’s thought, emotions and motivations, shows the uniformity and regularities in complex human communication in 2channel.


2channel Dynamism SEM Structural equation model 



We greatly give our thanks to Shintaro Azechi, assistant professor of Hokkaido Tokai University, who gave us the idea of using SEM. We also express our deepest gratitude to three anonymous reviewers whose comments greatly contributed to improve the discussions.


  1. 2channel Dictionary Project (2002) 2ten—2channel dictionary. Virtual Cluster (in Japanese)Google Scholar
  2. Anderson JC, Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull 103:411–423CrossRefGoogle Scholar
  3. Kaiser HF (1960) The application of electronic computers to factor analysis. Educ Psych Meas 20:141–151Google Scholar
  4. Kiesler S, Siegel J, McGuire T (1984) Social psychological aspects of computer-mediated communications. Am Psychol 39:1123–1134CrossRefGoogle Scholar
  5. Kollock P (1999) The economies of online cooperation: gifts and public goods in cyberspace. In: Smith M, Kollock P (eds) Communities in cyberspace. Routledge, New YorkGoogle Scholar
  6. McLaughlin ML, Osborne KK, Smith CB (1995) Standards of conduct on usenet. In: Jones SG (ed) Cybersociety: computer-mediated communication and community. Sage, pp 90–111Google Scholar
  7. Nielsen and NetRatings (2003) NetView AMS.
  8. Preece J (2000) Online communities: designing usability, supporting sociability. Wiley, New YorkGoogle Scholar
  9. Spears, Lea M (1992) Social influence and the influence of the ‘social’ in computer-mediated communication. In: Lea M (ed) Contexts of computer-mediated communication. Harvester Wheatsheaf, New YorkGoogle Scholar
  10. Whittaker S, Isaacs E, O’Day V (1997) Widening the net: workshop report on the theory and practice of physical and network communities. SIGCHI Bull 29(3):Google Scholar
  11. Witmer DF, Katzman SL (1997) On-line smiles: does gender make a difference in the use of graphic accents? J Comput Mediated Commun 2(4)Google Scholar

Copyright information

© Springer-Verlag London Limited 2004

Authors and Affiliations

  • Naohiro Matsumura
    • 1
  • Asako Miura
    • 2
  • Yasufumi Shibanai
    • 3
  • Yukio Ohsawa
    • 4
  • Toyoaki Nishida
    • 1
  1. 1.Graduate School of Information Science and TechnologyThe University of TokyoTokyoJapan
  2. 2.Graduate School of Human ScienceOsaka UniversityJapan
  3. 3.Department of Social SciencesDoshisha UniversityJapan
  4. 4.Graduate School of Business SciencesUniversity of TsukubaJapan

Personalised recommendations