Modeling of information diffusion in twitter-like social networks under information overload

The Scientific World Journal

Volumn 2014, Issue , 2014, Pages

  Li, Pei ^a   Li, Wei ^a   Wang, Hui ^a   Zhang, Xin ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; INFORMATION DIFFUSION; INFORMATION OVERLOAD; INFORMATION PROCESSING; MATHEMATICAL MODEL; SIMULATION; SOCIAL NETWORK; ALGORITHM; HUMAN; INTERNET; INTERPERSONAL COMMUNICATION; THEORETICAL MODEL;

ALGORITHMS; COMMUNICATION; HUMANS; INTERNET; MODELS, THEORETICAL;

EID: 84899414983     PISSN: None     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1155/2014/914907     Document Type: Article

References (24)

1. Leskovec J., Adamic L. A., Huberman B. A., The dynamics of viral marketing. ACM Transactions on the Web 2007 1 1 2-s2.0-34248550159 10.1145/1232722.1232727
2. Koroleva K., Krasnova H., Gunther O., 'stop spamming me!'-exploring information overload on facebook. Proceedings of the 16th Americas Conference on Information Systems (AMCIS '10) August 2010 Lima, Peru
3. Anderson R. M., May R. M., Population biology of infectious diseases: part I. Nature 1979 280 5721 361 367 2-s2.0-0018656345
4. Kempe D., Kleinberg J., Tardos É., Maximizing the spread of influence through a social network. Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '03) August 2003 New York, NY, USA 137 146 2-s2.0-33747172362 10.1145/956750.956769
5. Cowan R., Jonard N., Network structure and the diffusion of knowledge. Journal of Economic Dynamics and Control 2004 28 8 1557 1575 2-s2.0-1342264962 10.1016/j.jedc.2003.04.002
6. Santos F. C., Pacheco J. M., Lenaerts T., Evolutionary dynamics of social dilemmas in structured heterogeneous populations. Proceedings of the National Academy of Sciences of the United States of America 2006 103 9 3490 3494 2-s2.0-33644751686 10.1073/pnas.0508201103
7. Karrer B., Newman M. E. J., Competing epidemics on complex networks. Physical Review E-Statistical, Nonlinear, and Soft Matter Physics 2011 84 3 2-s2.0-80052994416 10.1103/PhysRevE.84.036106 036106
8. Borodin A., Filmus Y., Oren J., Threshold models for competitive influence in social networks. Proceedings of the 6th International Conference on Internet and Network Economics (WINE '10) 2010 Stanford, Calif, USA 539 550
9. Broecheler M., Shakarian P., Subrahmanian V. S., A scalable framework for modeling competitive diffusion in social networks. Proceedings of the 2nd IEEE International Conference on Social Computing (SocialCom '10), and the 2nd IEEE International Conference on Privacy, Security, Risk and Trust (PASSAT '10) August 2010 295 302 2-s2.0-78649253525 10.1109/SocialCom.2010.49
10. Li P., Xing K., Wang D., Zhang X., Wang H., Information diffusion in facebook- like social networks under information overload. International Journal of Modern Physics C 2013 24 7 1350047 10.1142/S0129183113500472
11. Li P., Sun Y., Chen Y., Tian Z., Estimating user influence in online social networks subject to information overload. International Journal of Modern Physics B 2014 28 3 1450004 10.1142/S0217979214500040
12. Solan E., Reshef E., The effect of filters on spam mail. Discussion Papers 2005 1402 Evanston, Ill, USA Northwestern University, Center for Mathematical Studies in Economics and Management Science
13. Kraut R. E., Sunder S., Morris J., Telang R., Filer D., Cronin M., Markets for attention: will postage for email help? Proceedings of the 8th 2002 ACM Conference on Computer Supported Cooperative Work (CSCW '02) November 2002 New Orleans, La, USA 206 215 2-s2.0-0038336806
14. Cheng J., Sun A., Zeng D., Information overload and viral marketing: countermeasures and strategies. Lecture Notes in Computer Science 2010 6007 108 117
15. Newman M. E. J., Assortative mixing in networks. Physical Review Letters 2002 89 20 208701
16. Newman M. E. J., Mixing patterns in networks. Physical Review E 2003 67 026126
17. Graham R. L., Knuth D. E., Patashnik O., Concrete Mathematics 1994 Reading, Mass, USA Addison Wesley
18. Bader B. W., Kolda T. G., Algorithm 862: MATLAB tensor classes for fast algorithm prototyping. ACM Transactions on Mathematical Software 2006 32 4 635 653 2-s2.0-33845525246 10.1145/1186785.1186794
19. Pastor-Satorras R., Vázquez A., Vespignani A., Dynamical and correlation properties of the internet. Physical Review Letters 2001 87 25 1 4 2-s2.0-25944437904 258701
20. Vázquez A., Pastor-Satorras R., Vespignani A., Large-scale topological and dynamical properties of the Internet. Physical Review E-Statistical, Nonlinear, and Soft Matter Physics 2002 65 6 1 12 2-s2.0-41349090299 10.1103/PhysRevE.65.066130 066130
21. Newman M. E. J., Park J., Why social networks are different from other types of networks. Physical Review E-Statistical, Nonlinear, and Soft Matter Physics 2003 68 3 1 18 2-s2.0-0242663598 036122
22. Krapivsky P. L., Rodgers G. J., Redner S., Degree distributions of growing networks. Physical Review Letters 2001 86 23 5401 5404 2-s2.0-0035805912 10.1103/PhysRevLett.86.5401
23. Payne J. L., Dodds P. S., Eppstein M. J., Information cascades on degree-correlated random networks. Physical Review E-Statistical, Nonlinear, and Soft Matter Physics 2009 80 2 2-s2.0-70349231183 10.1103/PhysRevE.80.026125 026125
24. Karsai M., Kivelä M., Pan R. K., Kaski K., Kertész J., Barabási A.-L., Saramäki J., Small but slow world: how network topology and burstiness slow down spreading. Physical Review E-Statistical, Nonlinear, and Soft Matter Physics 2011 83 2 2-s2.0-79952504668 10.1103/PhysRevE.83.025102 025102