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We focus in this study on approaches that aim to compute a partition, or disjoint communities of a complex network.
The modules or communities of a complex network are subsets of nodes [ 4, 6– 8].
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We report on findings from a quasi-experimental community trial of a complex intervention aimed at reducing social and commercial supply of cigarettes to young people.
Given the measuring difficulty under the current industrial conditions, a hybrid method, which combines community finding (CF) of a complex network with case-based reasoning (CBR) is proposed in this study.
The mis- and overuse of antibiotics in the community are behaviors of a complex nature.
The problem of female-only communities is a complex one.
The data support the idea that in most natural environments, individual organisms can be combined into ecological communities, forming a complex system of interspecies interactions that may have wide-ranging consequences for medicine, agriculture, and ecology [ 13].
The assembly of natural communities is the result of a complex interplay among multiple coexistence mechanisms, and our results reveal that simple rules governing phylogenetic community patterns cannot account for species colonizations and extinctions [5], [10].
The condition impacts a multitude of diverse communities, each with a complex group of stakeholders whose attitudes and perspectives are variable.
And that gap grows in no small part because of the intertwining forms of economic discrimination that target black communities – a complex web of racist housing policy that creates intergenerational poverty, education practices that funnel black students into prisons and out of classrooms and an economic climate that offers primarily low-wage jobs in lieu of better-paying work.
This highlights the concept that the ever increasing diversity observed within closely related groups of microorganisms, often in the flexible genomic islands, most likely plays a vital role in the ability of a microbial community as a complex mixture of different clonal lineages to adapt to environmental shifts.
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