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Figure 7 Physical activity of central individuals when closeness centrality is used in the communication networks.
Figure 8 Activity during social hours and regularity when closeness centrality is used to select central individuals in the communication networks.
Figure 7 shows the relative contact activity of the three groups compared to the population average in case central individuals selected by their closeness centrality in the communication networks.
Firm sponsored individuals interact with more individuals than interact with them, and also they seek to interact with central individuals in the community.
When people answered this question (and substantial numbers didn't), they unerringly identified central individuals within their village.
It is demonstrated that targeting central individuals or individuals that have high infection probability is not always the best strategy.
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Conversely, if benefits stem from a distributive decision-making system, as is the case in many social groups without a prominent central individual [24], [25], selection will favor low centrality at the group level, even though it might be beneficial for individuals to be personally central.
Assuming uniform exposure probability of individuals in the network we show that the optimal communication structure corresponds to either a network with a central individual (the star graph) or an all-to-all network (the complete graph) depending on the link detection probability, which is the probability that communication between individuals will be detected.
There's no real central individual on either side, so capturing those different groups of people was important to me.
Proximity-central individuals are also more active during social hours, however, they show less deviation from the population average.
For example, even non-central individuals benefit from group organization when it is based on directed allogrooming behaviors [26], or when it primes the actor for a future, more successful social role [1].
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