Abstract
The paper focuses its attention on a software project that takes advantage of pioneering sociological theories, graph & network theory, and the state-of-the-art in software technologies. Its very purpose, of particularly high importance nowadays, is to counter infectious diseases. The paper refers to research of Complex Networks displaying the, so called, Scale Free and Small World features, which make them accurate models of Social Networks.
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References
Erdös, P., Rényi, A.: On random graphs, Publ. Math. Debrecen. 6, 290–297 (1959)
Watts, D.J., Strogatz, S.H.: Collective dynamics of small-world” networks. Nature 393, 440–442 (1998)
Barabasi, A.L., Reka, A.: Emergency of Scaling in Random Networks. Science 286, 509–512 (1999)
Barabasi, A.L., Reka, A.: Statistical mechanics of complex networks. Review of Modern Physics 74, 47–97 (2002)
Watts, D.J.: Small Worlds: The Dynamics of Networks Between Order and Randomness. Princeton University Press, Princeton (1999)
Harary, F., Hage, P.: Eccentricity and centrality in networks. Social Networks 17, 57–63 (1995)
Kasprzyk, R.: The vaccination against epidemic spreading in Complex Networks, ISSN 1508-4183, Biuletyn ISI, Nr 3/2009, Warszawa, pp. 1508–4183 (2009)
Brandes, U., Kenis, P., Raab, J.: Explanation Through Network Visualization. Methodology 2(1), 16–23 (2006)
Pastor-Satorras, R., Vespignani, A.: Epidemic Spreading in Scale-Free Networks. PRL 86(14), 3200 (2001)
Crucitti, P., Latora, V., Marchiori, M., Rapisarda, A.: Error and attack tolerance of complex networks. Physica A 340, 388–394 (2004)
Wuchty, S., Stadler, P.F.: Centers of complex networks. Journal of Theoretical Biology 222, 45–53 (2003)
Barabási, A.L., Albert, R.: Topology of Evolving Networks: Local Events and Universality. PRL 85(24), 5234 (2000)
Cohen, R., Havlin, S., ben-Avraham, D.: Efficient Immunization Strategies for Computer Networks and Population. PRL 24, 247901–247901 (2003)
Madar, N., Kalisky, T., Cohen, R., ben-Avraham, D., Havlin, S.: Immunization and epidemic dynamics in complex networks. Eur. Phys. J. B 38, 269–276 (2004)
Najgebauer, A., Pierzchała, D., Kasprzyk, R.: A distributed multi-level system for monitoring and simulation of epidemics. In: Brebbia, C.A. (ed.) Risk Analysis VII and Brownfields V, pp. 583-596. WITPress (2010) ISBN 978-1-84564-472-7
Kasprzyk, R., Najgebauer, A., Pierzchała, D.: Creative Application to Remedy Epidemics. In: Brebbia, C.A. (ed.) Risk Analysis VII and Brownfields V, pp. 545–562. WIT Press (2010) ISBN: 978-1-84564-472-7
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Kasprzyk, R., Najgebauer, A., Pierzchała, D. (2011). Modelling and Simulation of an Infection Disease in Social Networks. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6922. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23935-9_38
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DOI: https://doi.org/10.1007/978-3-642-23935-9_38
Publisher Name: Springer, Berlin, Heidelberg
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