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Scientific Programming
Volume 2015, Article ID 907547, 11 pages
http://dx.doi.org/10.1155/2015/907547
Research Article

The Comparison of Users Activity on the Example of Polish and American Blogosphere

AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland

Received 21 March 2014; Accepted 26 November 2014

Academic Editor: Reda Alhajj

Copyright © 2015 Anna Zygmunt and Bogdan Gliwa. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Kobayashi, “Blogging around the globe: mitivations, privacy concerns, and social networking,” in Computational Social Networks: Security and Privacy, A. Abraham, Ed., chapter 3, pp. 55–86, Springer, London, UK, 2012. View at Publisher · View at Google Scholar
  2. S. Penderson, Why Blog?: Motivations for Blogging, Woodhead, Cambridge, UK, 2010.
  3. B. A. Nardi, D. J. Schiano, M. Gumbrecht, and L. Swartz, “Why we blog,” Communications of the ACM, vol. 47, no. 12, pp. 41–46, 2004. View at Publisher · View at Google Scholar
  4. K. D. Trammell, A. Tarkowski, J. Hofmokl, and A. M. Sapp, “Rzeczpospolita blogów [Republic of Blog]: examining polish bloggers through content analysis,” Journal of Computer-Mediated Communication, vol. 11, no. 3, pp. 702–722, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. A. J. Gill, S. Nowson, and J. Oberlander, “What are they blogging about? Personality, topic and motivation in blogs,” in Proceedings of the 3rd AAAI International ICWSM Conference, E. Adar, M. Hurst, T. Finin, N. S. Glance, N. Nicolov, and B. L. Tseng, Eds., The AAAI Press, San Jose, Calif, USA, May 2009.
  6. M. Taki, Bloggers and the blogosphere in lebanon & syria meanings and activities [Ph.D. thesis], University of Westminster, London, UK, 2010.
  7. P. J. Carrington, J. Scott, and S. Wasserman, Eds., Models and Methods in Social Network Analysis, Cambridge University Press, Cambridge, UK, 2005. View at Publisher · View at Google Scholar
  8. D. Obradovic and S. Baumann, “Identifying and analysing Germany's top blogs,” in KI 2008: Advances in Artificial Intelligence, A. Dengel, K. Berns, T. M. Breuel, F. Bomarius, and T. Roth-Berghofer, Eds., vol. 5243 of Lecture Notes in Computer Science, pp. 111–118, Springer, Berlin, Germany, 2008. View at Publisher · View at Google Scholar
  9. S. C. Herring, I. Kouper, J. C. Paolillo et al., “Conversations in the blogosphere: an analysis ‘from the bottom up’,” in Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS '05), vol. 4, p. 107.2, IEEE Computer Society, Washington, DC, USA, January 2005. View at Publisher · View at Google Scholar · View at Scopus
  10. D. Obradovic and S. Baumann, “A journey to the core of the blogosphere,” in International Conference on Advances in Social Network Analysis and Mining (ASONAM '09), N. Memon and R. Alhajj, Eds., pp. 1–6, IEEE Computer Society, 2009. View at Publisher · View at Google Scholar
  11. S. P. Borgatti and M. G. Everett, “Models of core/periphery structures,” Social Networks, vol. 21, no. 4, pp. 375–395, 2000. View at Publisher · View at Google Scholar · View at Scopus
  12. H. Yilin, F. Caroli, and T. Mandl, “The Chinese and the German blogosphere: an empirical and comparative analysis,” in Mensch & Computer, T. Gross, Ed., pp. 149–158, Oldenbourg, 2007. View at Google Scholar
  13. T. Mandl, “Comparing chinese and german blogs,” in Proceedings of the 20th ACM Conference on Hypertext and Hypermedia (HT '09), pp. 299–308, ACM, New York, NY, USA, July 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. P. Sobkowicz, M. Thelwall, K. Buckley, G. Paltoglou, and A. Sobkowicz, “Lognormal distributions of user post lengths in Internet discussions—a consequence of the Weber-Fechner law?” EPJ Data Science, vol. 2, no. 1, article 2, 2013. View at Publisher · View at Google Scholar
  15. S. Fortunato, “Community detection in graphs,” Physics Reports, vol. 486, no. 3–5, pp. 75–174, 2010. View at Publisher · View at Google Scholar
  16. D. Greene, D. Doyle, and P. Cunningham, “Tracking the evolution of communities in dynamic social networks,” in Proceedings of the International Conference on Advances in Social Networks Analysis and Mining (ASONAM '10), pp. 176–183, IEEE Computer Society, Washington, DC, USA, 2010. View at Publisher · View at Google Scholar
  17. G. Palla, I. Derényi, I. Farkas, and T. Vicsek, “Uncovering the overlapping community structure of complex networks in nature and society,” Nature, vol. 435, no. 7043, pp. 814–818, 2005. View at Publisher · View at Google Scholar · View at Scopus
  18. S. Asur, S. Parthasarathy, and D. Ucar, “An event-based framework for characterizing the evolutionary behavior of interaction graphs,” ACM Transactions on Knowledge Discovery from Data, vol. 3, no. 4, article 16, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. M. Spiliopoulou, “Evolution in social networks: a survey,” in Social Network Data Analytics, C. C. Aggarwal, Ed., pp. 149–175, Springer, New York, NY, USA, 2011. View at Publisher · View at Google Scholar · View at MathSciNet
  20. B. Gliwa, S. Saganowski, A. Zygmunt, P. Bródka, P. Kazienko, and J. Koźlak, “Identification of group changes in blogosphere,” in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM '12), pp. 1201–1206, Istanbul, Turkey, August 2012. View at Publisher · View at Google Scholar · View at Scopus
  21. P. Bródka, S. Saganowski, and P. Kazienko, “GED: the method for group evolution discovery in social networks,” Social Network Analysis and Mining, vol. 3, no. 1, pp. 1–14, 2013. View at Publisher · View at Google Scholar
  22. G. Palla, A.-L. Barabási, and T. Vicsek, “Quantifying social group evolution,” Nature, vol. 446, no. 7136, pp. 664–667, 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. B. Gliwa, A. Zygmunt, and A. Byrski, “Graphical analysis of social group dynamics,” in Proceedings of the 4th International Conference on Computational Aspects of Social Networks (CASoN '12), pp. 41–46, IEEE, November 2012. View at Publisher · View at Google Scholar · View at Scopus
  24. S. Wasserman and K. Faust, Social Network Analysis: Methods and Applications, Cambridge University Press, Cambridge,UK, 1994.
  25. E. Gleave, H. T. Welser, T. M. Lento, and M. A. Smith, “A conceptual and operational definition of ‘social role’ in online community,” in Proceedings of the 42nd Hawaii International Conference on System Sciences (HICSS '09), pp. 1–11, IEEE Computer Society, January 2009.
  26. H. T. Welser, D. Cosley, G. Kossinets et al., “Finding social roles in wikipedia,” in Proceedings of the iConference (iConference '11), pp. 122–129, ACM, New York, NY, USA, 2011. View at Publisher · View at Google Scholar
  27. V. Junquero-Trabado and D. Dominguez-Sal, “Building a role search engine for social media,” in Proceedings of the 21st International Conference Companion on World Wide Web (WWW '12), A. Mille, F. L. Gandon, J. Misselis, M. Rabinovich, and S. Staab, Eds., pp. 1051–1060, ACM, 2012. View at Publisher · View at Google Scholar
  28. E. Keller and J. Berry, One American in Ten Tells the Other Nine How to Vote, Where to Eat and, What to Buy, The Free Press, New York, NY, USA, 2003.
  29. N. Agarwal, H. Liu, L. Tang, and P. S. Yu, “Modeling blogger influence in a community,” Social Network Analysis and Mining, vol. 2, no. 2, pp. 139–162, 2012. View at Publisher · View at Google Scholar
  30. R. D. Nolker and L. Zhou, “Social computing and weighting to identify member roles in online communities,” in Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 87–93, September 2005. View at Publisher · View at Google Scholar
  31. A. Zygmunt, “Role identification of social networkers,” in Encyclopediaof Social Network Analysis and Mining, R. Alhajj and J. Rokne, Eds., pp. 1598–1606, Springer, New York, NY, USA, 2014. View at Google Scholar
  32. D. L. Hansen, B. Shneiderman, and M. A. Smith, “Visualizing threaded conversation networks: mining message boards and email lists for actionable insights,” in Active Media Technology, A. An, P. Lingras, S. Petty, and R. Huang, Eds., vol. 6335 of Lecture Notes in Computer Science, pp. 47–62, Springer, Berlin, Germany, 2010. View at Google Scholar
  33. M. Mathioudakis and N. Koudas, “Efficient identification of starters and followers in social media,” in Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology (EDBT '09), pp. 708–719, ACM, Saint-Petersburg, Russia, March 2009. View at Publisher · View at Google Scholar · View at Scopus
  34. C. C. Aggarwal and H. Wang, “Text mining in social networks,” in Social Network Data Analytics, C. C. Aggarwal, Ed., pp. 353–378, Springer, New York, NY, USA, 2011. View at Publisher · View at Google Scholar · View at MathSciNet
  35. F. Bodendorf and C. Kaiser, “Detecting opinion leaders and trends in online communities,” in Proceedings of the 4th International Conference on Digital Society (ICDS '10), L. Berntzen, F. Bodendorf, E. Lawrence, M. Perry, and S. Smedberg, Eds., pp. 124–129, February 2010. View at Publisher · View at Google Scholar · View at Scopus
  36. A. Bartal, E. Sasson, and G. Ravid, “Predicting links in social networks using text mining and SNA,” in Proceedings of the International Conference on Advances in Social Network Analysis and Mining (ASONAM '09), pp. 131–136, IEEE Computer Society, Washington, DC, USA, July 2009. View at Publisher · View at Google Scholar · View at Scopus
  37. Y. Huang, “Support vector machines for text categorization based on latent semantic indexing,” Tech. Rep., Electrical and Computer Engineering Department, The Johns Hopkins University, 2003. View at Google Scholar
  38. D. M. Blei, A. Y. Ng, and M. I. Jordan, “Latent Dirichlet allocation,” Journal of Machine Learning Research, vol. 3, no. 4-5, pp. 993–1022, 2003. View at Google Scholar · View at Scopus
  39. B. Gliwa, A. Zygmunt, and S. Podgorski, “Incorporating text analysis into evolution of social groups in blogosphere,” in Proceedings of the Federated Conference on Computer Science and Information Systems (FedCSIS '13), pp. 931–938, Krakow, Poland, September 2013. View at Scopus
  40. M. Nguyen, T. Ho, and P. Do, “Social networks analysis based on topic modeling,” in Proceedings of the IEEE RIVF International Conference on Computing and Communication Technologies: Research, Innovation, and Vision for Future (RIVF '13), pp. 119–122, November 2013. View at Publisher · View at Google Scholar · View at Scopus
  41. A. Zygmunt, P. Bródka, P. Kazienko, and J. Koźlak, “Key person analysis in social communities within the blogosphere,” Journal of Universal Computer Science, vol. 18, no. 4, pp. 577–597, 2012. View at Google Scholar · View at Scopus
  42. B. Gliwa, A. Zygmunt, and J. Koźlak, “Analysis of roles and groups in blogosphere,” in Proceedings of the 8th International Conference on Computer Recognition Systems (CORES '13), vol. 226 of Advances in Intelligent Systems and Computing, pp. 299–308, Springer, Cham, Switzerland, 2013. View at Publisher · View at Google Scholar
  43. B. Gliwa, J. Koźlak, A. Zygmunt, and K. Cetnarowicz, “Models of social groupsin blogosphere based on information about comment addressees and sentiments,” in Proceedings of the 4th International Conference on Social Informatics, vol. 7710 of Lecture Notes in Computer Science, pp. 475–488, Springer, Lausanne, Switzerland, 2012. View at Publisher · View at Google Scholar