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Empirical data on contacts between individuals in social contexts play animportant role in providing information for models describing human behaviorand how epidemics spread in populations. Here, we analyze data on face-to-facecontacts collected in an office building. The statistical properties ofcontacts are similar to other social situations, but important differences areobserved in the contact network structure. In particular, the contact networkis strongly shaped by the organization of the offices in departments, which hasconsequences in the design of accurate agent-based models of epidemic spread.We consider the contact network as a potential substrate for infectious diseasespread and show that its sparsity tends to prevent outbreaks of rapidlyspreading epidemics. Moreover, we define three typical behaviors according tothe fraction $f$ of links each individual shares outside its own department:residents, wanderers and linkers. Linkers ($f\sim 50\%$) act as bridges in thenetwork and have large betweenness centralities. Thus, a vaccination strategytargeting linkers efficiently prevents large outbreaks. As such a behavior maybe spotted a priori in the offices' organization or from surveys, without thefull knowledge of the time-resolved contact network, this result may help thedesign of efficient, low-cost vaccination or social-distancing strategies.

Data on face-to-face contacts in an office building suggests a low-cost vaccination strategy based on community linkers