Understanding the Spread of Epidemics in Highly Partitioned Mobile Networks Export

@inproceedings{carreras:malware, abstract = {In this paper we introduce a model for analyzing the spread of epidemics in a disconnected mobile network. The work is based on an extension, to a dynamic setting, of the eigenvector centrality principle introduced by two of the authors for the case of static networks. The extension builds on a new definition of connectivity matrix for a highly partitioned mobile system, where the connectivity between a pair of nodes is defined as the number of contacts taking place over a finite time window. The connectivity matrix is then used to evaluate the eigenvector centrality of the various nodes. Numerical results from real-world traces are presented and discussed.}, address = {Cavalese, Italy}, author = {Carreras, I. and Miorandi, D. and Canright, Geoffrey S. and Monsen, Kenth E.}, booktitle = {Proceedings of the 2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS 2006)}, citeulike-article-id = {5085462}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1315846}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1315843.1315846}, citeulike-linkout-2 = {http://www.create-net.it/~icarreras/docs/bionetics2006.pdf}, doi = {10.1145/1315843.1315846}, isbn = {1-4244-0463-0}, keywords = {cambridge\_haggle, crawdad, measurement, mit\_reality, umass\_diesel, wireless}, location = {Cavalese, Italy}, month = {December}, pages = {2+}, posted-at = {2009-07-07 12:12:13}, priority = {2}, publisher = {ACM}, title = {Understanding the Spread of Epidemics in Highly Partitioned Mobile Networks}, url = {http://dx.doi.org/10.1145/1315843.1315846}, year = {2006} }

TY - CONF ID - carreras:malware L3 - citeulike-article-id:5085462 N2 - In this paper we introduce a model for analyzing the spread of epidemics in a disconnected mobile network. The work is based on an extension, to a dynamic setting, of the eigenvector centrality principle introduced by two of the authors for the case of static networks. The extension builds on a new definition of connectivity matrix for a highly partitioned mobile system, where the connectivity between a pair of nodes is defined as the number of contacts taking place over a finite time window. The connectivity matrix is then used to evaluate the eigenvector centrality of the various nodes. Numerical results from real-world traces are presented and discussed. CY - Cavalese, Italy SN - 1-4244-0463-0 AD - Cavalese, Italy TI - Understanding the Spread of Epidemics in Highly Partitioned Mobile Networks PB - ACM T2 - Proceedings of the 2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS 2006) SP - 2 KW - cambridge_haggle KW - crawdad KW - measurement KW - mit_reality KW - umass_diesel KW - wireless AU - Carreras, I AU - Miorandi, D AU - Canright, Geoffrey AU - Monsen, Kenth PY - 2006/December// UR - http://dx.doi.org/10.1145/1315843.1315846 ER -