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Information diffusion through blogspace

Published:17 May 2004Publication History

ABSTRACT

We study the dynamics of information propagation in environments of low-overhead personal publishing, using a large collection of weblogs over time as our example domain. We characterize and model this collection at two levels. First, we present a macroscopic characterization of topic propagation through our corpus, formalizing the notion of long-running "chatter" topics consisting recursively of "spike" topics generated by outside world events, or more rarely, by resonances within the community. Second, we present a microscopic characterization of propagation from individual to individual, drawing on the theory of infectious diseases to model the flow. We propose, validate, and employ an algorithm to induce the underlying propagation network from a sequence of posts, and report on the results.

References

  1. Rakesh Agrawal and Ramakrishnan Srikant. Mining sequential patterns. In Proc. ICDE, pages 3--14, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Reka Albert, Hawoong Jeong, and Albert-Laszlo Barabasi. Error and attack tolerance of complex networks. Nature, 406, July 2000.Google ScholarGoogle Scholar
  3. J. Allan, editor. Topic Detection and Tracking: Event-based Information Organization. Kluwer, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Norman Bailey. The Mathematical Theory of Infectious Diseases and its Applications. Griffin, London, 2nd edition, 1975.Google ScholarGoogle Scholar
  5. Venkatesh Bala and Sanjeev Goyal. A strategic analysis of network reliability. Review of Economic Design, 5:205--228, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  6. Bela Bollabas and Oliver Riordan. Robustness and vulnerability of scale-free random graphs. Internet Mathematics, 1(1), 2003.Google ScholarGoogle Scholar
  7. Daypop. http://www.daypop.com.Google ScholarGoogle Scholar
  8. A. Dempster, N. Laird, and D. Rubin. Maximum likelihood from incomplete data via the EM algorithm. J. Royal Stat. Soc., 1977.Google ScholarGoogle ScholarCross RefCross Ref
  9. Jared Diamond. Guns, Germs, and Steel. Random House, 1997.Google ScholarGoogle Scholar
  10. Victor M. Eguiluz and Konstantin Klemm. Epidemic threshold in structured scale-free networks. Physical Review Letters, 89, 2002. cond-mat/0205439.Google ScholarGoogle Scholar
  11. Michelle Girvan, Duncan S. Callaway, M. E. J. Newman, and Steven H. Strogatz. A simple model of epidemics with pathogen mutation. Phys. Rev. E, 65(031915), 2002. nlin.CD/0105044.Google ScholarGoogle Scholar
  12. Malcolm Gladwell. The Tipping Point: How little things can make a big difference. Little Brown & Co., 2000.Google ScholarGoogle Scholar
  13. Jacob Goldenberg, Barak Libai, and Eitan Muller. Talk of the network: A complex systems look at the underlying process of word-of-mouth. Marketing Letters, 12(3):211--223, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  14. Mark Granovetter. Threshold models of collective behavior. American Journal of Sociology, 83(6):1420--1443, 1987.Google ScholarGoogle ScholarCross RefCross Ref
  15. R. V. Guha and Rob McCool. TAP: A system for integrating web services into a global knowledge base.Google ScholarGoogle Scholar
  16. Hans Haller and Sudipta Sarangi. Nash networks with heterogeneous agents. Working Paper Series E-2001-1, Virginia Tech, 2003.Google ScholarGoogle Scholar
  17. David Kempe, Jon Kleinberg, and Eva Tardos. Maximizing the spread of influence through a social network. In Proc. KDD, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Andrew King. The evolution of RSS. http://www.webreference.com/authoring/languages/xml/rss/1/.Google ScholarGoogle Scholar
  19. Ravi Kumar, Jasmine Novak, Prabhakar Raghavan, and Andrew Tomkins. On the bursty evolution of blogspace. In Proc. WWW, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. M. Mitzenmacher. A brief history of lognormal and power law distributions. In Allerton Comm. Control Comput., 2001.Google ScholarGoogle Scholar
  21. Cristopher Moore and M. E. J. Newman. Epidemics and percolation in small-world networks. Phys. Rev. E, 61:5678--5682, 2000. cond-mat/9911492.Google ScholarGoogle ScholarCross RefCross Ref
  22. Stephen Morris. Contagion. Review of Economic Studies, 67, 2000.Google ScholarGoogle Scholar
  23. M. E. J. Newman. The spread of epidemic disease on networks. Phys. Rev. E, 66(016128), 2002. cond-mat/0205009.Google ScholarGoogle Scholar
  24. M. E. J. Newman, Stephanie Forrest, and Justin Balthrop. Email networks and the spread of computer viruses. Phys. Rev. E, 66(035101), 2002.Google ScholarGoogle Scholar
  25. Romauldo Pasto-Satorras and Alessandro Vespignani. Epidemic spreading in scale-free networks. Phys. Rev. Letters, 86(14):3200--3203, April 2001.Google ScholarGoogle ScholarCross RefCross Ref
  26. Steven Strogatz. Sync: The emerging science of spontaneous order. Hyperion, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Topic Detection and Tracking (TDT-2003). http://www.nist.gov/TDT.Google ScholarGoogle Scholar
  28. D. Watts and S. Strogatz. Collective dynamics of 'small-world' networks. Nature, 393:440--442, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  29. WebFountain. http://www.almaden.ibm.com/WebFountain/.Google ScholarGoogle Scholar
  30. Fang Wu, Bernardo A. Huberman, Lada A. Adamic, and Joshua R. Tyler. Information flow in social groups. Manuscript, 2003.Google ScholarGoogle Scholar
  31. H. Peyton Young. The diffusion of innovation in social networks. Sante Fe Institute Working Paper 02-04-018, 2002.Google ScholarGoogle Scholar

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              cover image ACM Conferences
              WWW '04: Proceedings of the 13th international conference on World Wide Web
              May 2004
              754 pages
              ISBN:158113844X
              DOI:10.1145/988672

              Copyright © 2004 ACM

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              • Published: 17 May 2004

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