E network calculated from the number of direct and indirect connections
E network calculated from the quantity of direct and indirect connections passing through it as a(c) Mycobacterium bovis infection status of person PP58 web meerkats I sampled 0 meerkats in five social groups, each and every as much as eight occasions, every single three months in between January 2006 andProc. R. Soc. B (200)636 J. A. Drewe Tuberculosis transmission in meerkatsTable three. Associations among intergroup movements of roving male meerkats and alterations in M. bovis infection status in those males and in members of groups being visited. Outdegree information (`rovers leaving’) refers to short-term departures of 64 male meerkats from five social groups. Indegree data (`rovers visiting’) refers to visits to 96 meerkats in 5 social groups by rovers from as much as nine other social groups. Regression coefficients (r) and linked probabilities ( p) according to 30 000 permutations are shown. Italic values indicate substantial relationships following Bonferroni correction ( p , 0.006). rovers leaving time point 2006 t t2 t3 t4 2007 t5 t6 t7 t8 total date n outdegree rovers visiting n indegreeJanuary arch AprilJune July eptember October ecember265 90 292r p r p r p r p r p r p r p r p r p0.03 0.83 0 .00 0.05 0.75 0.58 ,0.00 0.37 0.006 0 .00 0.38 0.0 0.3 0.05 0.42 0.36 48 5r p r p r p r p r p r p r p r p r p20.07 0.47 0 .00 0 0.98 0.04 0.68 0. 0.27 20.0 0.9 20.09 0.59 0.3 0.50 20.07 0.January arch AprilJune July eptember October ecember 200662 74 79 7333 3 49 67Table 4. Associations amongst networks of aggressive intergroup interactions and risk of M. bovis infection in meerkats within those groups. Regression coefficients (r) and related probabilities ( p) according to 30 000 permutations of intergroup interactions (degree) between 5 focal meerkat groups (96 meerkats) and up to three other social groups are shown. No relationships are important right after Bonferroni correction ( p , 0.006). time point 2006 t t2 t3 t4 2007 t5 t6 t7 t8 total number of interactionsdatedegreeJanuary arch AprilJune July eptember October ecember69 22 70r p r p r p r p r p r p r p r p r p20.09 0.38 0 .00 0.03 0.86 0.06 0.57 0.23 0.02 20.0 0.94 0.9 0.03 0.eight 0.07 0.6 0.January arch AprilJune July eptember October ecember 200632 49 24 3flowbetweenness is really a measure on the variety of paths that pass via a focal meerkat along the shortest path in between all other meerkats (Freeman et al. 99). It has been suggested that an individual lying around the shortest path regulates the flow of facts (e.g. disease) among two indirectly linked men and women (Borgatti 2005). The greater the flowbetweenness score, the more influential an individual is as an intermediary for make contact with in between other people. If an individual with 
higher flowbetweenness centrality is removed in the network, the speed and certainty of transmission of infectious illness from a random person inside the network to a further is extra affected than if an individual having a low score is removed (Borgatti 995). All networks have been constructed applying weighted data (that is certainly, I considered relative amounts of each and every interaction rather than just recording the presence or absence of an interaction). For infections for instance M. bovis that PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/24897106 require close get in touch with for transmission to occur, each the regularity of encounters along with the weight of interactions are critical (Study et al. 2008). For each and every interaction sort, a single network containing all meerkats was constructed and individual network measures for every meerkat have been calculated. An exception was aggressive intergr.