[1]
|
Cane, V. R. (1966). A note on the size of epidemics and the number of people hearing a rumour. J. R. Stat. Soc. Ser. B, 28, 487-490.
|
[2]
|
Chakrabarti, D., Wang, Y., Wang, C., Leskovec, J., & Faloutsos, C. (2008). Epidemic thresholds in real networks. ACM Transactions on Information and System Security, 10, 1-26.
doi:10.1145/1284680.1284681
|
[3]
|
Christley, R. M. et al. (2005). Infection in social networks: Using network analysis to identify high-risk individuals. American Journal of Epidemiology, 162, 1024-1031. doi:10.1093/aje/kwi308
|
[4]
|
Daley, D. J., & Kendall, D. G. (1964). Epidemics and rumours. Nature, 204, 1118. doi:10.1038/2041118a0
|
[5]
|
Daley, D. J., & Kendall, D. G. (1965). Stochastic rumours. Journal of Applied Mathematics, 1, 42-55. doi:10.1093/imamat/1.1.42
|
[6]
|
Draief, M., Ganesh, A., & Massoulie, L. (2008). Thresholds for virus spread on networks. Annals of Applied Probability, 18, 359-378.
doi:10.1214/07-AAP470
|
[7]
|
Goldenberg, J., Libai, B., Moldovan, S., & Muller, E. (2007). The NPV of bad news. International Journal of Research in Marking, 24, 186-200. doi:10.1016/j.ijresmar.2007.02.003
|
[8]
|
Granovetter, M. (1978). Threshold models of collective behavior. American Journal of Sociology, 83, 1420-1443. doi:10.1086/226707
|
[9]
|
Guardiola, X., Diaz-Guilera, A., Perez, C. J., Arenas, A., & Llas, M. (2002). Modeling diffusion of innovations in a social network. Physical Review E, 66, Article ID: 026121.
doi:10.1103/PhysRevE.66.026121
|
[10]
|
Kempe, D., Kleinberg, J., & Tardos, E. (2003). Maximizing the spread of influence in a social network. Proceeding of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 137-146). New York: ACM Press.
doi:10.1145/956750.956769
|
[11]
|
Landahl, H. D. (1953). On the spread of information with time and distance. Bulletin of Mathematical Biology, 15, 367-381.
doi:10.1007/BF02476410
|
[12]
|
Liu, Y. H. et al. (2011). Rumor riding: Anonymizing unstructured peer-to-peer systems. IEEE Transactions on Parallel and Distributed Systems, 22, 464-475. doi:10.1109/TPDS.2010.98
|
[13]
|
Newman, M. J., Watts, D. J. (1999). Renormalization group analysis of the small-world network model. Physics Letters A, 263, 341-346.
doi:10.1016/S0375-9601(99)00757-4
|
[14]
|
Rapoport, A., & Rebhun, L. I. (1952). On the mathematical theory of rumor spread. Bulletin of Mathematical Biology, 14, 375-383.
doi:10.1007/BF02477853
|
[15]
|
Sudbury, A. (1985). The proportion of the population never hearing a rumour. Journal of Applied Probability, 22, 443-446.
doi:10.2307/3213787
|
[16]
|
Trpevski, D. (2010). Model for rumor spreading over networks. Physical Review E, 81, Article ID: 056102.
doi:10.1103/PhysRevE.81.056102
|
[17]
|
Watson, R. (1987). On the size of a rumour. Stochastic Processes and Their Applications, 1, 141-149. doi:10.1016/0304-4149(87)90010-X
|