The Epidemics of Corruption Export

@misc{citeulike:226608, abstract = {We study corruption as a generalized epidemic process on the graph of social relationships. The main difference to classical epidemic processes is the strong nonlinear dependence of the transmission probability on the local density of corruption and the mean field influence of the overall corruption in the society. Network clustering and the degree-degree correlation play an essential role in corruption dynamics. We discuss phase transitions, the influence of the graph structure and the implications for epidemic control. Structural and dynamical arguments are given why strongly hierarchically organized societies like systems with dictatorial tendency are more vulnerable to corruption than democracies. A similar type of modelling can be applied to other social contagion spreading processes like opinion formation, doping usage, social disorders or innovation dynamics.}, archivePrefix = {arXiv}, author = {Ph, P. and Krueger, A. and Krueger, T. and Martin, P.}, citeulike-article-id = {226608}, citeulike-linkout-0 = {http://arxiv.org/abs/physics/0505031}, citeulike-linkout-1 = {http://arxiv.org/pdf/physics/0505031}, comment = {Corruption trapses on the border between legal and illegal--this could be useful.}, day = {4}, eprint = {physics/0505031}, keywords = {corruption, illegal, socialnetworks, thesis}, month = {May}, posted-at = {2005-06-12 22:45:39}, priority = {3}, title = {The Epidemics of Corruption}, url = {http://arxiv.org/abs/physics/0505031}, year = {2005} }

TY - ELEC ID - citeulike:226608 L3 - citeulike-article-id:226608 N2 - We study corruption as a generalized epidemic process on the graph of social relationships. The main difference to classical epidemic processes is the strong nonlinear dependence of the transmission probability on the local density of corruption and the mean field influence of the overall corruption in the society. Network clustering and the degree-degree correlation play an essential role in corruption dynamics. We discuss phase transitions, the influence of the graph structure and the implications for epidemic control. Structural and dynamical arguments are given why strongly hierarchically organized societies like systems with dictatorial tendency are more vulnerable to corruption than democracies. A similar type of modelling can be applied to other social contagion spreading processes like opinion formation, doping usage, social disorders or innovation dynamics. TI - The Epidemics of Corruption KW - corruption KW - illegal KW - socialnetworks KW - thesis N1 - Corruption trapses on the border between legal and illegal--this could be useful. AU - Ph, P AU - Krueger, A AU - Krueger, T AU - Martin, P PY - 2005/05/04/ UR - http://arxiv.org/abs/physics/0505031 ER -