R. Albert, H. Jeong, and A. L. Barabási, Error and attack tolerance of complex networks, Nature, vol.1696, issue.6794, pp.378-382, 2000.
DOI : 10.1038/35019019

L. A. Amaral, A. Scala, M. Barthélemy, and H. E. Stanley, Classes of small-world networks, Proc. Natl
DOI : 10.1073/pnas.200327197

R. Anderson and R. May, Infectious diseases of humans: dynamics and control To control rabies: vaccinate foxes, New Sci, vol.87, pp.640-645, 1980.

N. D. Barlow, Non-linear transmission and simple models for bovine tuberculosis, Journal of Animal Ecology, vol.349, issue.4, pp.703-713, 2000.
DOI : 10.1098/rstb.1997.0042

M. Barthélemy, A. Barrat, R. Pastor-satorras, and A. Vespignani, Velocity and Hierarchical Spread of Epidemic Outbreaks in Scale-Free Networks, Physical Review Letters, vol.92, issue.17, p.178701, 2004.
DOI : 10.1103/PhysRevLett.92.178701

M. Barthélemy, A. Barrat, R. Pastor-satorras, and A. Vespignani, Dynamical patterns of epidemic outbreaks in complex heterogeneous networks, Journal of Theoretical Biology, vol.235, issue.2, pp.275-288, 2005.
DOI : 10.1016/j.jtbi.2005.01.011

V. Batagelj and A. Mrvar, Pajek-program for large network analysis, Connections, vol.21, pp.47-57, 1998.

R. Bivand and A. Gebhardt, Implementing functions for spatial statistical analysis using the language, Journal of Geographical Systems, vol.2, issue.3, pp.307-317, 2000.
DOI : 10.1007/PL00011460

S. Borgatti, M. Everett, L. Freeman, A. Bowman, and A. Azzalini, UCInet version 6.137 for Windows: Software for Social Network Analysis Analytic Technologies Applied smoothing techniques for data analysis: the kernel approach with S-plus illustrations The effect of manipulating population density on the probability of den-sharing among common brushtail possums, and the implications for transmission of bovine tuberculosis, Wildl. Res, vol.1112, issue.25, pp.383-392, 1997.

P. Caley, Bovine tuberculosis in brushtail possums: models, dogma and data, N. Z. J. Ecol, vol.30, pp.25-34, 2006.

N. A. Campbell, J. B. Reece, B. Biology, R. M. Christley, G. L. Pinchbeck et al., Infection in social networks: using network analysis to identify high-risk individuals, Am. J. Epidemiol, vol.15, issue.162, pp.1024-1031, 2005.

R. Cohen and S. Havlin, Scale-Free Networks Are Ultrasmall, Physical Review Letters, vol.90, issue.5, p.58701, 2003.
DOI : 10.1103/PhysRevLett.90.058701
URL : http://arxiv.org/abs/cond-mat/0205476

J. Coleman and P. Caley, Possums as a reservoir of bovine Tb The brushtail possum: biology, impact and management of an introduced marsupial, pp.92-104, 2000.

L. Corner, M. Stevenson, D. Collins, and R. Morris, The re-emergence of Mycobacterium bovis infection in brushtail possums (Trichosurus vulpecula) after (page number not for citation purpose, pp.11-13

L. A. Corner, B. M. Buddle, D. U. Pfeiffer, and R. S. Morris, Vaccination of the brushtail possum (Trichosurus vulpecula) against Mycobacterium bovis infection with bacille Calmette-Gu??rin: the response to multiple doses, Veterinary Microbiology, vol.84, issue.4, pp.327-336, 2002.
DOI : 10.1016/S0378-1135(01)00461-8

L. A. Corner, D. U. Pfeiffer, and R. S. Morris, Social-network analysis of Mycobacterium bovis transmission among captive brushtail possums (Trichosurus vulpecula), Preventive Veterinary Medicine, vol.59, issue.3, pp.147-167, 2003.
DOI : 10.1016/S0167-5877(03)00075-8

P. Cowan, R. Brockie, G. Ward, and M. Efford, Long-distance movments of juvenile brushtail possums (Trichosurus vulpecula) on farmland, Hawkes Bay, New Zealand, Wildlife Research, vol.23, issue.2, pp.237-244, 1996.
DOI : 10.1071/WR9960237

P. E. Cowan, The handbook of New Zealand mammals, pp.68-98, 1990.

P. Crépey, F. P. Alvarez, and M. Barthélemy, Epidemic variability in complex networks, Epidemic variability in complex networks, p.46131, 2006.
DOI : 10.1103/PhysRevE.73.046131

D. Croft, J. Krause, and R. James, Social networks in the guppy (Poecilia reticulata), Proceedings of the Royal Society B: Biological Sciences, vol.271, issue.Suppl_6, pp.516-519, 2004.
DOI : 10.1098/rsbl.2004.0206

A. Davison and D. Hinkley, Bootstrap methods and their application, 2003.
DOI : 10.1017/CBO9780511802843

T. D. Day, C. O-'connor, and L. Mathews, Possum social behaviour The brushtail possum: the biology, impact and management of an introduced marsupial, pp.35-46, 2000.

D. Jong and M. C. , Mathematical modelling in veterinary epidemiology: why model building is important, Preventive Veterinary Medicine, vol.25, issue.2, pp.183-193, 1995.
DOI : 10.1016/0167-5877(95)00538-2

K. Dietz, Transmission and control of arboviruses, Epidemiology, SIAM, pp.104-121, 1975.

S. Dorogovtsev and J. Mendes, Evolution of networks: from biological nets to the internet and WWW, 2003.

L. Dublin and A. Lotka, On the True Rate of Natural Increase, Journal of the American Statistical Association, vol.20, issue.151, pp.305-339, 1925.
DOI : 10.2307/2965517

B. Efron and R. Tibshirani, An introduction to the bootstrap, 1993.
DOI : 10.1007/978-1-4899-4541-9

P. Erdös and A. Rényi, The evolution of random graphs, Magyar Tud, Akad. Mat. Kutató Int. Közl, vol.5, pp.17-61, 1960.

A. A. Fairweather, R. E. Brockie, and G. D. Ward, ) sharing dens: A potential infection route for bovine tuberculosis, New Zealand Veterinary Journal, vol.3, issue.1-2, pp.15-16, 1987.
DOI : 10.1080/00480169.1987.35365

G. R. Fulford, M. G. Roberts, and J. A. Heesterbeek, The Metapopulation Dynamics of an Infectious Disease: Tuberculosis in Possums, Theoretical Population Biology, vol.61, issue.1, pp.15-29, 2002.
DOI : 10.1006/tpbi.2001.1553

A. P. Galvani and R. M. May, Epidemiology: Dimensions of superspreading, Dimensions of superspreading, pp.293-295, 2005.
DOI : 10.1038/438293a

P. J. Guimaraes, M. De-aguiar, J. Bascompte, P. Jordano, and S. Dos-reis, Random initial condition in small Barabasi-Albert networks and deviations from the scale-free behavior, Physical Review E, vol.71, issue.3, p.37101, 2005.
DOI : 10.1103/PhysRevE.71.037101

J. A. Heersterbeek, A brief history of R 0 and a recipe for its calculation, Acta Biotheoretica, vol.50, issue.3, pp.189-204, 2002.
DOI : 10.1023/A:1016599411804

G. Hickling, Clustering of tuberculosis infection in brushtail possum populations: implications for epidemiological simulation models, Tuberculosis in wildlife and domestic animals, pp.276-279, 1995.

R. Jackson, G. De-lisle, and R. Morris, on a farm in New Zealand, New Zealand Veterinary Journal, vol.55, issue.7, pp.346-352, 1995.
DOI : 10.1080/00480169./1995.35913

R. Jackson, infection of livestock in New Zealand, New Zealand Veterinary Journal, vol.43, issue.sup3, pp.49-52, 2002.
DOI : 10.1080/00480169.2002.36267

W. Ji, S. Sarre, J. Craig, and M. Clout, DENNING BEHAVIOR OF COMMON BRUSHTAIL POSSUMS IN POPULATIONS RECOVERING FROM DENSITY REDUCTION, Journal of Mammalogy, vol.84, issue.3, pp.1059-1067, 2003.
DOI : 10.1644/BOS-030

W. Ji, P. C. White, and M. Clout, Contact rates between possums revealed by proximity data loggers, Journal of Applied Ecology, vol.32, issue.3, pp.595-604, 2005.
DOI : 10.1111/j.1365-2664.2005.01026.x

L. Li, D. Alderson, R. Tanaka, J. Doyle, and W. Willinger, Towards a Theory of Scale-Free Graphs: Definition, Properties, and Implications, Internet Mathematics, vol.2, issue.4, pp.431-523, 2005.
DOI : 10.1080/15427951.2005.10129111

F. Liljeros, C. R. Edling, L. A. Amaral, H. E. Stanley, and Y. Åberg, The web of human sexual contacts, Nature, vol.406, issue.6840, pp.907-908, 2001.
DOI : 10.1038/35082140

J. Lloyd-smith, S. Schreiber, P. Kopp, and W. Getz, Superspreading and the effect of individual variation on disease emergence, Nature, vol.4, issue.7066, pp.355-359, 2005.
DOI : 10.1038/nature04153

D. Lusseau, The emergent properties of a dolphin social network, Proceedings of the Royal Society B: Biological Sciences, vol.270, issue.Suppl_2, pp.186-188, 2003.
DOI : 10.1098/rsbl.2003.0057

D. Lusseau and E. Newman, Identifying the role that animals play in their social networks, Proceedings of the Royal Society B: Biological Sciences, vol.271, issue.Suppl_6, pp.477-281, 2004.
DOI : 10.1098/rsbl.2004.0225

D. Lusseau, B. Wilson, P. Hammond, K. Grellier, J. Durban et al., Quantifying the influence of sociality on population structure in bottlenose dolphins, Journal of Animal Ecology, vol.9, issue.1, pp.14-24, 2006.
DOI : 10.1017/S1367943004001581

R. M. May, S. Gupta, and A. R. Mclean, Infectious disease dynamics: what characterizes a successful invader?, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.356, issue.1410, pp.901-910, 2001.
DOI : 10.1098/rstb.2001.0866

R. M. May and A. L. Lloyd, Infection dynamics on scale-free networks, Physical Review E, vol.64, issue.6, p.66112, 2001.
DOI : 10.1103/PhysRevE.64.066112

L. Mollema, P. Koene, and M. De-jong, Quantification of the contact structure in a feral cattle population and its hypothetical effect on the transmission of bovine herpesvirus 1, Preventive Veterinary Medicine, vol.77, issue.3-4, pp.161-179, 2006.
DOI : 10.1016/j.prevetmed.2006.05.014

S. Mossa, M. Barthelemy, E. Stanley, H. , N. Amaral et al., Truncation of Power Law Behavior in ???Scale-Free??? Network Models due to Information Filtering, Physical Review Letters, vol.88, issue.13, p.138701, 2002.
DOI : 10.1103/PhysRevLett.88.138701

P. Neal, SIR epidemics on a Bernoulli random graph, Journal of Applied Probability, vol.24, issue.03, pp.779-782, 2003.
DOI : 10.1017/S0001867800019571

B. Paterson, R. Morris, J. Weston, and P. Cowan, Foraging and denning patterns of brushtail possums, and their possible relationship to contact with cattle and the transmission of bovine tuberculosis, New Zealand Veterinary Journal, vol.19, issue.7, pp.281-288, 1995.
DOI : 10.1071/WR9850145

J. J. Potterat, H. Zimmerman-rogers, S. Q. Muth, R. B. Rothenberg, D. L. Green et al., Chiamydia Transmission: Concurrency, Reproduction Number, and the Epidemic Trajectory, American Journal of Epidemiology, vol.150, issue.12, pp.1331-1339, 1999.
DOI : 10.1093/oxfordjournals.aje.a009965

D. Ramsey, N. Spencer, P. Caley, M. Efford, K. Hansen et al., The effects of reducing population density on contact rates between brushtail possums: implications for transmission of bovine tuberculosis, Journal of Applied Ecology, vol.39, issue.5, pp.806-818, 2002.
DOI : 10.1046/j.1365-2664.2002.00760.x

D. Ramsey and P. Cowan, infection), New Zealand Veterinary Journal, vol.80, issue.4, pp.179-185, 2003.
DOI : 10.2307/5780

D. Ramsey, J. Coleman, M. Coleman, and P. Horton, The effect of fertility control on the transmission of bovine tuberculosis in wild brushtail possums, New Zealand Veterinary Journal, vol.11, issue.5, pp.218-223, 2006.
DOI : 10.1016/j.tree.2004.02.006

B. Rowlingson and P. Diggle, Splancs: Spatial point pattern analysis code in S-plus, Computers & Geosciences, vol.19, issue.5, pp.627-655, 1993.
DOI : 10.1016/0098-3004(93)90099-Q

T. Snijders and S. Borgatti, Models of Mycobacterium bovis in wildlife and cattle, Non-parametric standard errors and tests for network statistics, pp.161-170, 1999.

S. Wasserman and K. Faust, Social network analysis: methods and applications, 1994.
DOI : 10.1017/CBO9780511815478

D. J. Watts and S. H. Strogatz, Collective dynamics of " small-world " networks, Nature, vol.393, issue.6684, pp.440-442, 1998.
DOI : 10.1038/30918

H. J. Wearing, P. Rohani, and M. J. Keeling, Appropriate models for the management of infectious diseases The Swedish canine parvovirus epidemic ? an epidemiological study in a dog population of defined size, PLoS Med. Prev. Vet. Med, vol.2, issue.1, pp.273-288, 1983.

G. Wittemyer, I. Douglas-hamilton, and W. Getz, The socioecology of elephants: analysis of the processes creating multitiered social structures, Animal Behaviour, vol.69, issue.6, pp.1357-1371, 2005.
DOI : 10.1016/j.anbehav.2004.08.018

J. Yorke, H. Hethcote, and A. Nold, Dynamics and Control of the Transmission of Gonorrhea, Sexually Transmitted Diseases, vol.5, issue.2, pp.51-56, 1978.
DOI : 10.1097/00007435-197804000-00003

R. N. Zadocks, B. E. Gillespie, H. W. Barkema, O. C. Sampimon, S. P. Oliver et al., Clinical, epidemiological and molecular characteristics of Streptococcus uberis infections in dairy herds, Epidemiology and Infection, vol.130, issue.2, pp.335-349, 2003.
DOI : 10.1017/S0950268802008221