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The PG also shows that the cell cycle is regulated by polarity-related checkpoints for septin ring organization (node 45860), spindle assembly (node 42254) and spindle alignment (node 6261).
First, polarity induces both spindle reorientation and actin organization (node 51300), so that actin may assemble into filaments (node 915), which in turn favours polarized transport to the bud (node 32940).
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Based on this organization, nodes from each sector are coordinated to transmit in specific periods of time to reduce the hidden terminal problem.
Methods to preserve the stability of nodes and the consistency of the network structure leveraging hierarchical organization on nodes have been proposed [48] [51].
Closeness centralization of a network describes the organization of nodes in strongly connected groups.
Network community analysis has become an invaluable tool to explore and reveal the internal organization of nodes.
Degree centralization determines the extent to which the organization of nodes in the network is around some central points.
Clustered organization of nodes with aggregation of data at the cluster head becomes one of the significant means to extend life expectancy of the network.
A hierarchical organization of nodes according to some authority or centrality measure allows to visualize the graph at different levels of details, eliminating the need to display all nodes and edges at once [60].
Clearly, quantitative results obtained in these studies, such as the degrees of nodes, cannot be taken for granted, but one may expect that as long as the population sample is not biased, qualitative observations such as the broadness of degree distribution or the organization of nodes in communities are significant information on the structure of communication networks.
Inspired on a previous study on a dynamic addressing paradigm, the "Dynamic address routing for scalable ad-hoc and mesh networks" DART[4], is proposed as a proactive hierarchical approach that efficiently manages the organization of nodes into zones for large scale networks.
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