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An association between two multihoming endpoints creates many paths between them.
So, if there are many paths between two nodes, the transition probability will be high.
As a consequence, there would be many paths between two biomedical entities.
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However, this search can fail if either no path or too many paths exist between the source and target k-mers.
Based on this energy model, we designed a localized scheme for adaptive topology control which maintains k-connectivity from all the energy-rich nodes in the network to a sink whenever possible; otherwise, it tries to keep as many paths as possible between these energy-rich nodes, so as to support energy-efficient routing.
Specifically, we utilize the many paths that exist between entities in the Biozon data graph to map ESTs to protein products.
Decisively answering questions of contingency and determinism and repeatability and the number of paths between states requires examination of many paths, not just one.
Betweenness centrality is the measure of node importance within a graph, where nodes that occur on many shortest paths between nodes have higher betweenness.
Thus, nodes that occur on many shortest paths between other nodes have higher betweenness.
Vertices that occur on many shortest paths between other vertices have higher betweenness than those that do not and are considered bottlenecks.
There are not many paths or roads, and villages and towns are few and far between.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com