Advertisement

The Studies of Blogs and Online Communities: From Information to Knowledge and Action

  • Emanuela Todeva
  • Donka Keskinova
Chapter
Part of the Lecture Notes in Social Networks book series (LNSN)

Abstract

This research addresses the question of whether the rise of blogs as a rich information source may create new opinion leaders that transform and challenge the traditionally held public views on drugs and European health care. We investigate blogs that discuss issues related to European health care and European pharmaceuticals for a selected 6 month period. In our approach of the blog space, we take a sociological perspective and design a multistage methodology for data collection and data analysis that differs from the traditionally used crawling techniques by computer scientists.

The results reveal that in spite of the high volume of blogs for the investigated period, only a small number are interlinked by mutual referrals. The emerging network configuration is represented by a small core component with a large number of dyads, or short tails, which represents a fragmented community space. Our content analysis reveals that the information broadcasted in blogs shows emerging semantic differentiation related to specific health issues and disease categories. Our findings support the conclusion that in spite of the high technical Internet connectivity facilitated by search engines and Internet crawling tools, community interaction is limited, and there is no evidence of online crowd or collective action.

Keywords

Online Community Semantic Category Semantic Group Knowledge Community Semantic Association 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

Special thanks and acknowledgement for the contribution of a number of colleagues that actively helped with the finance of the empirical investigation, the development of the methodology, and the analysis of the data (David Parry, Chris Shilling, Hristo Karapchanski, Jana Diesner).

References

  1. Adamic L, Glance N (2005) The political blogosphere and the 2004 U.S. election: Divided they blog, XIVth international world wide web conference, Chiba, JapanGoogle Scholar
  2. Barabási A, Dezső Z, Ravasz E, Yook S, Oltvai Z (2003) Scale‐free and hierarchical structures in complex networks. In: American Institute of Physic Conference Proceedings, 661(1)Google Scholar
  3. Cambrosio A, Keating P, Mogoutov A (2006) Mapping the emergence and development of translational cancer research. Eur J Cancer 42(18):3140–3148CrossRefGoogle Scholar
  4. Cardon D, Delaunay-Teterel H, Fluckiger C, Prieur C (2007) Sociological typology of personal blogs, ICWSM’2007. International conference on weblogs and social media, Boulder, COGoogle Scholar
  5. Dourisboure Y, Geraci F, Pellegrini M (2008) Extraction and classification of dense communities in the web. XVIth international world wide web conference, Banff, ABGoogle Scholar
  6. Eisengerg E, Farace R, Monge P, Bettinghaus E, Kurchner-Hawkins R, Miller K, Rothman L (1985) Communication linkages in inter-organisational systems. In: Dervin B, Voight M (eds) Progress in communication sciences, vol 6. Ablex, Norwood, NJ, pp 210–266Google Scholar
  7. Esmaili K, Jamali M, Neshati M, Abolhassani H, Soltan-Zadeh Y (2006) Experiments on persian weblogs. XVth international world wide web conference, EdinburghGoogle Scholar
  8. Gamon M, Basu S, Belenko D, Fisher D, Hurst M, Konig A (2008) BLEWS: using blogs to provide context for news articles. Association for the Advancement of Artificial IntelligenceGoogle Scholar
  9. Kritikopoulos A, Sideri M, Varlamis I (2007) Blogrank: ranking on the blogosphere, ICWSM’2007, international conference on weblogs & social media, Boulder, COGoogle Scholar
  10. Leskovec J, McGlohon M, Faloutsos C, Glance N, Hurst M (2007) Cascading behaviour in large blog graphs. SIAM Data MiningGoogle Scholar
  11. Lin J, Halavais A, Zhang B (2007) The blog network in America: blogs as indicators of relationships among US cities. Connections 28(2):22–30Google Scholar
  12. Magnus Berquist M, Feller J, Ljungberg J (eds) (2003) Open source software movements and communities. In: Proceedings of the international conference on communities and technologies, Amsterdam, Netherlands, September, 2003Google Scholar
  13. McGlohon M, Leskovec J, Faloutsos C, Hurst M, Glance N (2007) Finding patterns in blog shapes and blog evolution. ICWSM’2007, International conference on weblogs and social media, Boulder, COGoogle Scholar
  14. Russ C (2007) Online crowds—extraordinary mass behavior on the internet. In: Proceedings of I-MEDIA ’07 and I-SEMANTICS ’07, Graz, Austria, September 5–7, 2007Google Scholar
  15. Todeva E (2006a) Business networks: strategy and structure. Taylor & Francis, New York, NYGoogle Scholar
  16. Todeva E (2006b) Clusters in the south east of England. University of Surrey, SurreyGoogle Scholar
  17. Tseng B, Tatemura J, Wu Y (2005) Tomographic clustering to visualize blog communities as mountain views. XIVth international world wide web conference, Chiba, JapanGoogle Scholar
  18. Wellman B (2001) Computers as social networks. Science 293(5538):2031CrossRefGoogle Scholar
  19. www (2008) An introduction to web mining. http://www2008.org/program/program-tutorials-TF3.html

Copyright information

© Springer-Verlag Wien 2014

Authors and Affiliations

  • Emanuela Todeva
    • 1
  • Donka Keskinova
    • 2
  1. 1.University of SurreySurreyUK
  2. 2.Plovdiv UniversityPlovdivBulgaria

Personalised recommendations