Analytical and Stochastic Modeling Techniques and by Bruno Sericola, Telek Miklós, Gábor Horváth

By Bruno Sericola, Telek Miklós, Gábor Horváth

This ebook constitutes the refereed lawsuits of the twenty first foreign convention on Analytical and Stochastic Modelling thoughts and functions, ASMTA 2014, held in Budapest, Hungary, in June/July 2014. The 18 papers offered have been rigorously reviewed and chosen from 27 submissions. The papers talk about the newest advancements in analytical, numerical and simulation algorithms for stochastic platforms, together with Markov strategies, queueing networks, stochastic Petri nets, approach algebras, online game conception, etc.

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Additional info for Analytical and Stochastic Modeling Techniques and Applications: 21st International Conference, ASMTA 2014, Budapest, Hungary, June 30 – July 2, 2014. Proceedings

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2e+07 1e+07 8e+06 6e+06 4e+06 2e+06 0 25 10 20 5 15 15 T =2 20 5 10 25 5 T =1 CSC PC1 PC2 TC 25 20 5 15 15 25 5 250000 200000 150000 100000 50000 0 25 20 5 15 15 CSC PC1 PC2 TC 30000 25000 20000 15000 10000 5000 0 25 20 5 CSC PC1 PC2 TC 4000 3500 3000 2500 2000 1500 1000 500 0 25 20 5 10 15 15 20 10 25 5 T = 18 20 5 10 15 15 20 10 25 5 T = 19 Fig. 8. Mammosphere simulation evenly spread across the space, and there is a more abrupt reduction in the concentration of non-T C cells after T = 12. 5 Conclusions In this paper we have presented a new Markovian Agents based formalism that is able to consider spatial evolution of populations of entities.

Fig. 4 shows how syndemic effects affect the evolution of the epidemics. We consider three cases. 4 and Δ2 = 0, the second epidemic reinforces spreading of the first. Specifically, if an individual is infected by the second epidemic, its infection rate for the first epidemic is doubled. 4 and Δ1 = 0, the first epidemic reinforces spreading of the second in a similar manner. 4, both epidemics reinforce each other. 4 for e1 corresponds to the case where there are no syndemic effects on e1 . Comparison with the other e1 curves clearly reveals the syndemic effects.

In: Proc. IEEE International Conference on Data Mining, ICDM 2012 (2012) 29. : Learning the graph of epidemic cascades. In: Proc. 12th ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2012), pp. 211– 222. ACM, New York (2012) 30. : Interacting epidemics and coinfection on contact networks. PLoS ONE 8(8), e71321(2013) 31. : On celebrity, epidemiology and the internet. In: Proc. 7th International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2013), Turin, Italy (December 2013) 32.

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