2001
DOI: 10.2139/ssrn.1310728
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Clearchus on Love

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Cited by 2 publications
(3 citation statements)
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“…We point the interested reader back to [16] and [27], where the important role of structural cohesion in the temporally-aggregated graph is demonstrated. We note that the structural cohesion calculated [31] for these two networks are 18.3 (High School) and 28.5 (Conference), quantifying the large number of node-independent paths typically available in these networks. In contrast, the structural cohesion of the DNC email network is 1.28, directly quantifying that it is much more tree-like, and as such there are typically few (or in many cases no) available detours between nodes.…”
Section: Reachability With Concurrencymentioning
confidence: 96%
“…We point the interested reader back to [16] and [27], where the important role of structural cohesion in the temporally-aggregated graph is demonstrated. We note that the structural cohesion calculated [31] for these two networks are 18.3 (High School) and 28.5 (Conference), quantifying the large number of node-independent paths typically available in these networks. In contrast, the structural cohesion of the DNC email network is 1.28, directly quantifying that it is much more tree-like, and as such there are typically few (or in many cases no) available detours between nodes.…”
Section: Reachability With Concurrencymentioning
confidence: 96%
“…Within the aggregated network, we seek the number of nodeindependent paths, κ(i, j), available between nodes i and j. We employ the shortest path approximation of [19] to numerically calculate κ(i, j) and then average over all pairs of nodes:…”
Section: A Structural Cohesion and Temporal Concurrencymentioning
confidence: 99%
“…That is, given the computation [19] that separately identifies the number and length of node-independent shortest paths for each node pair (i, j) in the aggregated network, equation (7) gives us the probability of accessibility between the pair, as restricted along these node-independent paths. In other words, the corresponding R(i, j) element of the accessibility matrix becomes 1 with probability ρ(i, j).…”
Section: A Consideration Of Node-independent Pathsmentioning
confidence: 99%