Table of Contents Author Guidelines Submit a Manuscript
Abstract and Applied Analysis
Volume 2013 (2013), Article ID 689495, 6 pages
http://dx.doi.org/10.1155/2013/689495
Research Article

Influential Node Control Strategy for Opinion Evolution on Social Networks

1Department of Mathematics, Southeast University, Nanjing 210096, China
2Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
3School of Computer and Science and Engineering, Southeast University, Nanjing 210096, China
4College of Economics, Zhejiang University, Hangzhou 310058, China

Received 16 October 2013; Accepted 17 November 2013

Academic Editor: Qiankun Song

Copyright © 2013 Cheng Ju et al. 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. N. Crokidakis and F. L. Forgerini, “Consequence of reputation in the Sznajd consensus model,” Physics Letters A, vol. 374, no. 34, pp. 3380–3383, 2010. View at Publisher · View at Google Scholar · View at Scopus
  2. P. Holme and M. E. J. Newman, “Nonequilibrium phase transition in the coevolution of networks and opinions,” Physical Review E, vol. 74, no. 5, Article ID 056108, 5 pages, 2006. View at Publisher · View at Google Scholar · View at Scopus
  3. R. Lambiotte, M. Ausloos, and J. A. Hołyst, “Majority model on a network with communities,” Physical Review E, vol. 75, no. 3, Article ID 030101, 4 pages, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. F. Radicchi and S. Fortunato, “Explosive percolation: a numerical analysis,” Physical Review E, vol. 81, no. 3, Article ID 036110, 10 pages, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. M. Girvan and M. E. J. Newman, “Community structure in social and biological networks,” Proceedings of the National Academy of Sciences of the United States of America, vol. 99, no. 12, pp. 7821–7826, 2002. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  6. P. L. Krapivsky and S. Redner, “Dynamics of majority rule in two-state interacting spin systems,” Physical Review Letters, vol. 90, no. 23, Article ID 238701, 4 pages, 2003. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Lewenstein, A. Nowak, and B. Latané, “Statistical mechanics of social impact,” Physical Review A, vol. 45, no. 2, pp. 763–776, 1992. View at Publisher · View at Google Scholar · View at MathSciNet
  8. Y. Chen, G. Paul, S. Havlin, F. Liljeros, and H. E. Stanley, “Finding a better immunization strategy,” Physical Review Letters, vol. 101, no. 5, Article ID 058701, 4 pages, 2008. View at Publisher · View at Google Scholar
  9. R. Cohen, K. Erez, D. Ben-Avraham, and S. Havlin, “Resilience of the Internet to random breakdowns,” Physical Review Letters, vol. 85, no. 21, pp. 4626–4628, 2000. View at Publisher · View at Google Scholar · View at Scopus
  10. R. Cohen, K. Erez, D. Ben-Avraham, and S. Havlin, “Breakdown of the internet under intentional attack,” Physical Review Letters, vol. 86, no. 16, pp. 3682–3685, 2001. View at Publisher · View at Google Scholar · View at Scopus
  11. P. Holme, B. J. Kim, C. N. Yoon, and S. K. Han, “Attack vulnerability of complex networks,” Physical Review E, vol. 65, no. 5, Article ID 056109, 14 pages, 2002. View at Publisher · View at Google Scholar · View at Scopus
  12. L. K. Gallos, F. Liljeros, P. Argyrakis, A. Bunde, and S. Havlin, “Improving immunization strategies,” Physical Review E, vol. 75, no. 4, Article ID 045104, 4 pages, 2007. View at Publisher · View at Google Scholar · View at Scopus
  13. M. E. J. Newman, “Scientific collaboration networks. I. Network construction and fundamental results,” Physical Review E, vol. 64, no. 1, Article ID 016131, 8 pages, 2001. View at Publisher · View at Google Scholar · View at Scopus
  14. M. E. J. Newman, “Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality,” Physical Review E, vol. 64, no. 1, Article ID 016132, 7 pages, 2001. View at Publisher · View at Google Scholar · View at Scopus
  15. R. M. Tripathy, A. Bagchi, and S. Mehta, “A study of rumor control strategies on social networks,” in Proceedings of the ACM 19th International Conference on Information and Knowledge Management (CIKM '10), pp. 1817–1820, ACM, October 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. A. J. Kimmel and A. Audrain-Pontevia, “Analysis of commercial rumors from the perspective of marketing managers: rumor prevalence, effects, and control tactics,” Journal of Marketing Communications, vol. 16, no. 4, pp. 239–253, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. L. Zhao, Q. Wang, J. Cheng, Y. Chen, J. Wang, and W. Huang, “Rumor spreading model with consideration of forgetting mechanism: a case of online blogging LiveJournal,” Physica A, vol. 390, no. 13, pp. 2619–2625, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. G. Huang, J. Cao, and Y. Qu, “The minority's success under majority rule,” Physica A, vol. 388, no. 18, pp. 3911–3916, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. C. Ju, Y. Cao, and P. Zhou, “The effect of different strategies and the structure on opinion formation,” Discrete Dynamics in Nature and Society, vol. 2013, Article ID 705318, 6 pages, 2013. View at Publisher · View at Google Scholar · View at MathSciNet