Social Network Analysis and Mining

, Volume 2, Issue 1, pp 53–67 | Cite as

Identifying the top-dogs of the blogosphere

  • Justus BrossEmail author
  • Keven Richly
  • Matthias Kohnen
  • Christoph Meinel
Review Article


The development of a resilient weblog ranking metric within the global blogosphere, capable of identifying the most important or influential weblogs around, forms the central aspect of this paper. Because well-established ranking algorithms for traditional web pages are not perfectly applicable to the deviant linking characteristics of the blogosphere, blog engines, such as Technorati, BlogPulse or PostRank have developed their own tailor-made ranking metric. This paper will analyze and compare the ranking criteria of these service providers and reveal their conceptional shortcomings and discuss their strengths. Ultimate objective of this paper is to introduce a novel ranking metric, the so-called “BlogIntelligence-Impact-Score” or “BI-Impact” for short. It represents one of the central informational offerings of the forthcoming “BlogIntelligence” portal.


Ranking Score Ranking Algorithm Single Post Ranking Criterion Reputation Score 
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.


  1. Afrigator: Afrigator.
  2. Ajao OD (2009) The truth about afrigator rankings.
  3. Bansal N, Koudas N (2007) BlogScope: spatio-temporal analysis of the blogosphere. In: Proceedings of the world wide web conference 2007, ACM, Banff, Alberta, Canada, pp 1269–1270Google Scholar
  4. Bansal N, Koudas N (2007) Searching the blogosphere. In: Proceedings of the 10th international workshop on web and databases (WebDB 2007), ACM, Beijing, China, pp 1–6Google Scholar
  5. Beard A (2007) In depth: Google BlogSearch—Ranking Blog Documents Patent.
  6. Bianchini M, Gori M, Scarselli F (2005) Inside PageRank. ACM Trans Internet Technol 5(1):92–128. Google Scholar
  7. Brin S, Page L (1998) The anatomy of a large-scale hypertextual web search engine. Comput Netw ISDN Syst 30(1–7):107–117.∼backrub/google.html Google Scholar
  8. Bross J, Richly K, Schilf P, Meinel C (2010a) Social physics of the blogosphere: capturing, analyzing and presenting interdependencies of partial blogospheres. Springer, New York, pp 179–198 Google Scholar
  9. Bross J, Berger P, Hennig P, Meinel C (2010b) RSS-Crawler enhancement for blogosphere-mapping. Int J Adv Comput Sci Appl (IJACSA) 1(2):51–57. Google Scholar
  10. Bross J, Quasthoff M, Berger P, Hennig P, Meinel C (2010c) Mapping the blogosphere with rss-feeds. In: The IEEE 24th international conference on advanced information networking and application. IEEE, Perth, Australia, pp 453–460.
  11. Brown S (2006) Technorati Rank: in depth and explained.
  12. Davies W (2003) You don’t know me, but... social capital and social software. ISociety 3(May):1–64.
  13. Ding C, He X, Husbands P, Zha H, Simon HD (2002) PageRank, HITS and a unified framework for link analysis. In: Proceedings of the 25th annual international ACM SIGIR conference on research and development in information retrieval—SIGIR ’02. ACM Press, New York, p 8.
  14. Fujimura K, Tanimoto N (2005) The EigenRumor algorithm for calculating contributions in cyberspace communities. Trusting Agents for Trusting Electronic Societies 3577/2005, pp 59–74.
  15. Haveliwala TH (2002) Topic-sensitive PageRank. In: Proceedings of the eleventh international conference on World Wide Web—WWW ’02. ACM Press, New York, p 10.
  16. Hedemann F (2008) Wikio Blog-Ranking—Interessante Quelle für Blogger und Blog-Leser.
  17. Hedengren TD Twingly Launches BlogRank, Says it is Trust.
  18. Hein L (2009) Can someone please explain the Afrigator rankings (in English).
  19. Herring S, Kouper I, Paolillo J, Scheidt L, Tyworth M, Welsch P, Wright E (2005) Conversations in the Blogosphere: an analysis "From the Bottom Up". In: Proceedings of the 38th annual Hawaii international conference on system sciences. IEEE.
  20. Herring SC, Scheidt LA, Bonus S, Wright E (2008) Bridging the gap: a genre analysis of weblogs. In: Proceedings of the 37th Hawaii international conference on system sciences (HICSS’04). IEEE, Big Island, Hawaii.
  21. Kirchhoff L, Bruns A, Nicolai T (2007) Investigating the impact of the blogosphere: using PageRank to determine the distribution of attention. In: Proceedings of the association of internet researchers (AoIR)-conference, Vancouver, BC, Canada, pp 1–16Google Scholar
  22. Kleinberg JM (1998) Authoritative sources in a hyperlinked environment. In: Proceedings of the ninth annual ACM–SIAM symposium on discrete algorithms. Society for Industrial and Applied Mathematics, pp 668–677Google Scholar
  23. Kritikopoulos A, Sideri M, Varlamis I (2006) BlogRank: ranking weblogs based on connectivity and similarity features. In: Proceedings of the 2nd international workshop on advanced architectures and algorithms for internet delivery and applications. ACM, p 8.
  24. Kunzelnick M Blogoscoop.
  25. Kurland O, Lee L (2005) PageRank without hyperlinks: structural re-ranking using links induced by language models. In: Proceedings of the 28th annual international ACM SIGIR conference on research and development in information retrieval. ACM, p 8.
  26. Lang C (2008) How does Google rank blogs? Completely different than you think!Google Scholar
  27. Langville A, Meyer C (2004) Deeper inside PageRank. Internet Mathematics pp 1–33.
  28. Liu H, Yu PS, Agarwal N, Suel T (2010) Social computing in the blogosphere. IEEE Internet Computing 14(2):12–14. Google Scholar
  29. Massa P, Hayes C (2005) Page-reRank: using trusted links to re-rank authority. In: The 2005 IEEE/WIC/ACM international conference on web intelligence (WI’05). IEEE, pp 614–617.
  30. Page L, Brin S, Motwani R, Winograd T (1998) The pagerank citation ranking: bringing order to the web.
  31. Parker G (2009) Power to the people—Social Media Tracker Wave 4.
  32. PostRank: Info PostRank.
  33. Rosen D, Barnett Ga, Kim JH (2010) Social networks and online environments: when science and practice co-evolve. Soc Netw Anal Min 1(1):27–42.
  34. Schnoor M (2008) Twingly als neue Messlatte für Blogs.
  35. Schröder J Deutsche blogcharts—faq.
  36. Scott J (2010) Social network analysis: developments, advances, and prospects. Soc Netw Anal Min 1(1):21–26.
  37. Slawski B (2007) Positive and negative quality ranking factors from Google’s blog search.
  38. Smith T (2008) Power to the people: Social Media Tracker Wave 3.
  39. Song X, Chi Y, Hino K, Tseng BL (2007) Identifying opinion leaders in the blogosphere. In: Proceedings of the sixteenth ACM conference on conference on information and knowledge management, CIKM 2007, pp 971–974Google Scholar
  40. Spinn3r: Spinn3r Features.
  41. Spinn3r: Spinn3r Social Media Rank.
  42. Stii: Whats in a (Afrigator) ranking (2008).
  43. Technorati: Technorati Authority FAQ.
  44. State of the Blogosphere 2009 (2009)
  45. TheWrongAdvice: How Does Google Blog Search Determine Blog Rank? (2007)
  46. Twingly: Twingly FAQ.
  47. Ulicny B, Matheus CJ, Kokar MM (2010) Metrics for monitoring a social–political blogosphere—a Malaysian case study. IEEE Internet Comput 14(2):34–44. Google Scholar
  48. Wauters R (2008) Twingly Debuts BlogRank, Guess Who Leads The Top 100.
  49. Webstandard: Wie gut ist das Technoracti-Ranking wirklich? (2008).
  50. Westphal F Über Rivva.
  51. Wolfe AW (2010) Anthropologist view of social network analysis and data mining. Soc Netw Anal Min 1(1):3–19.
  52. Zafra A (2008) Twingly presents blog rank and top 100 blogs.

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Justus Bross
    • 1
    Email author
  • Keven Richly
    • 1
  • Matthias Kohnen
    • 1
  • Christoph Meinel
    • 1
  1. 1.FG Internet Technologies and SystemsHasso-Plattner-InstitutPotsdamGermany

Personalised recommendations