Modeling the resilience of social networks to lockdowns regarding the dynamics of meetings

Interactions between communities improve the resilience of multicultural societies

“…Both communities are of equal size, and parameters other than α and β are initialized as in Ref. [24]. After a transient period for the network to reach equilibrium, restrictions are imposed on random and social meetings due to a lockdown.…”

“…In Ref. [24], where single, homogeneous communities were considered, the recovery process was well fitted by an exponential decay function of equation: where…”

“…Understanding the mechanisms that govern community resilience, and relatedly the conditions under which it is efficient or can be improved, is therefore key to helping authorities plan and implement the adequate transformations to be better prepared against future hazards. This work follows in the footsteps of a previous study where we used a modeling approach to study the resilience of communities to lockdowns [24]. Communities were modeled as dynamic social networks where nodes represent individuals and links between nodes represent meetings between individuals.…”

“…To achieve this, we propose an extension of the model developed in Ref. [24] that allows the inclusion of two communities with different features within the same social network. Because random meetings were shown to be much more pivotal to resilience than social meetings and meeting break-ups, we adapt only the algorithm for random meetings, while keeping social meetings and meeting break-ups as they were in the original model (see the model reminder below).…”

“…We first briefly recall the original model developed in Ref. [24] and present its extension to two communities. Next, we analyze the dynamics and resilience of the society when the two communities are independent of each other (i.e., do not interact) and recover the results of the single community model.…”