Node i's weight vs node i's connection weight

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node i's connection weight

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  • Node i's weight vector at time t w. (t+ 1. 2 ) i. Node i's update at time t. ˆw. (t+ 1. 2 ) i. Node i's approximate network average update. ¯wi. Sum of first t local weight ...
  • walk centrality gi node i's weight measured with trip demand.
  • j,k candidate stop, all network nodes are candidates ri node i's weight measured with node random
  • We also define node i's weight to be wi = ?j?NB(i) wi,j. For a player i ? A who does not have any neighbors in B we simply define wi = 0. We use G to denote ...
  • node i's weight increases beyond the threshold amount and thus triggers the DQEB algorithm. Thus node i tries to detach all its children and switch to being a  ...

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