A time-varying propagation model of hot topic on BBS sites and Blog networks

Information Sciences

Volumn 187, Issue 1, 2012, Pages 15-32

  Zhang, Beibei ^a   Guan, Xiaohong ^a,b   Khan, Muhammad Junaid ^c   Zhou, Yadong ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b TSINGHUA UNIVERSITY   (China)

^c NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

Author keywords

Collective behavior; Multi peak; Propagation model; Single peak; Uniformly weakly persistent

Indexed keywords

COLLECTIVE BEHAVIOR; MULTI-PEAK; PROPAGATION MODEL; SINGLE-PEAK; UNIFORMLY WEAKLY PERSISTENT;

BULLETIN BOARDS; COMPUTATIONAL COMPLEXITY; FORECASTING; INTERNET; MOTIVATION; TIME VARYING NETWORKS; TIME VARYING SYSTEMS;

MATHEMATICAL MODELS;

EID: 84155165142     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2011.09.025     Document Type: Article

References (30)

1. N.J.T. Bailey The Mathematical theory of Infectious Diseases and its Applications 1975 Griffin London
2. L.B. Cao, C.Q. Zhang, Y.C. Zhao, Philip S. Yu, G. Williams, DDDM2007: Domain driven data mining, in: ACM SIGKDD Explorations Newsletter vol. 9 (2), Special issue on visual analytics Workshop Session: KDD 2007 reports: KDD Cup and workshops 84-86, 2007.
3. M.D. Choudhury, H. Sundaram, A. John, D.D. Seligmann, Multi-scale characterization of social network dynamics in the blogosphere, in: Proceeding of the 17th ACM conference on Information and Knowledge Management, October 26-30, 2008, Napa Valley, California, USA.
4. K. Denecke, and W. Nejdl How valuable is medical social media data? content analysis of the medical web Information Sciences 179 12 2009 1870 1880
5. O. Diekmann, and J. Heesterbeek Mathematical Epidemiology of Infectious disease Wiley Series in Mathematical and Computational Biology Chichester 2000 Wiley
6. F. Ginter, H. Suominen, S. Pyysalo, and T. Salakoski Combining hidden Markov models and latent semantic analysis for topic segmentation and labeling: Method and clinical application International Journal of Medical Informatics 78 12 2009 e1-e6, Mining of Clinical and Biomedical Text and Data Special Issue
7. D. Gruhl, R. Guha, D. Liben-Nowell, A. Tomkins, Information diffusion through blogspace, in: Proceedings of the 13th International Conference on World Wide Web, 2004, pp. 491-501. (Pubitemid 40752783)
8. H. Hethcote The mathematics of infectious diseases SIAM Review 42 2000 599 653
9. T. Hironori, L.V. Subramaniam, T. Nasukawa, and S. Roy Getting insights from the voices of customers: Conversation mining at a contact center Information Sciences 179 11 2009 1584 1591
10. V. Hristidis, O. Valdivia, and M. Vlachos Information discovery across multiple streams Information Sciences 179 2009 3268 3285
11. W.H. Hsu, A.L. King, M.S.R. Paradesi, T. Pydimarri, T. Weninger, Collaborative and structural recommendation of friends using weblog-based social network analysis, in: Proceedings of Computational Approaches to Analyzing Weblogs - AAAI 2006 Technical Report SS-06-03, Stanford, CA, 2006, pp. 55-60. (Pubitemid 44230527)
12. S. Kleanthous, V. Dimitrova, Detecting changes over time in a knowledge sharing community, in: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, September 15-18, 2009, pp.100-107.
13. R. Kumar, J. Novak, P. Raghavan, A. Tomkins, On the bursty evolution of blog space, in: WWW'03: Proceedings of the 12th International Conference on World Wide Web, 2003, pp. 568-576.
14. Y.R. Lin, H. Sundaram, Y. Chi, J. Tatemura, B.L. Tseng, Blog community discovery and evolution based on mutual awareness expansion, in: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, 2007, pp. 48-56.
15. Y.R. Lin, Y. Chi, S.H. Zhu, H. Sundaram, and B.L. Tseng Analyzing communities and their evolutions in dynamic social networks ACM Transactions on Knowledge Discovery from Data (TKDD) 3 2 2009 1 31
16. Q. Mei, X. Ling, M. Wondra, H. Su, C. Zhai, Topic sentiment mixture: modeling facets and opinions in weblogs, in: WWW'07: Proceedings of the 16th International Conference on World Wide Web, 2007, pp. 171-180. (Pubitemid 47582249)
17. M.E. Newman, J. Forrest, Stephanie, Balthrop, and Justin Email networks and the spread of computer viruses Physics Review E 66 3 2002 035101 R
18. X. Ni, G.R. Xue, Y. Yu, Q. Yang, Exploring in the weblog space by detecting informative and affective articles, in: WWW'07: Proceedings of the 16th International Conference on World Wide Web, 2007, pp. 181-190.
19. G.M. Ochieng, and F.A.O. Otieno Data-based mechanistic modeling of stochastic rainfall-flow processes by state dependent parameter estimation Environmental Modeling and Software 24 2 2009 279 284
20. T. O'Reilly What is Web 2.0- design patterns and business models for the next generation of software Communications and Strategies 1 2007 17 First Quarter
21. S.G. Ruan, and W.D. Wang Dynamical behavior of an epidemic model with a nonlinear incidence rate Journal of Differential Equations 188 1 2003 135 163
22. Y. Sekiguchi, H. Kawahima, H. Okuda, M. Oku, Topic detection from blog documents using users' interests, in: Proceedings of the Seventh International Conference on Mobile Data Management, 2006.
23. H. Sundaram, Making sense of meaning: leveraging social processes to understand media semantics, in: Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 1648-1651, June 28-July 03, 2009, New York, NY, USA.
24. S.K. Tanbeer, C.F. Ahmed, B.S. Jeong, and Y.K. Lee Sliding window-based frequent pattern mining over data streams Information Sciences 179 2009 3843 3865
25. Y.L. Tang, and W.G. Li Global analysis of an epidemic model with a constant removal rate Mathematical and Computer Modelling 45 7-8 2007 834 843
26. X. Wang, C. Zhai, X. Hu, R. Sproat, Mining correlated bursty topic patterns from coordinated text streams. KDD, 2007.
27. E. Wilde Deconstructing blogs Online Information Review 32 3 2008 401 414
28. L. Zhao, R.X. Yuan, X.H. Guan, and M.Y. Li Propagation modeling and analysis of incidental topics in blogosphere Lecture Notes in Computer Science, Online Communities and Social Computing, LNCS 5621 2009 401 410
29. H.T. Zheng, B.Y. Kang, and H.G. Kim Exploiting noun phrases and semantic relationships for text document clustering Information Sciences 179 2009 2249 2262
30. Y.D. Zhou, X.H. Guan, Z.F. Zhang, B.B. Zhang, Predicting the tendency of topic discussion on the online social networks using a dynamic probability model, in: Proceedings of the hypertext 2008 workshop on Collaboration and collective intelligence, 2008.