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Software for modeling circuit theory-based connectivity at any scale. We developed GFlow to solve large ecological problems in a High Performance Computing environment. If solving a small problem or if you are willing to sacrifice some performance, it can be deployed on a desktop computer. v. 0.1.4 Updates GFlow will automatically ignore node pairs with that create short circuits (islands). Updated instructions for installation and execution. Bug fixes. Note: If having difficulty assigning arguments to flags, please check for the most recent description in execute_example.sh on the main repo as this is actively being edited for clarity. v. 0.1.3 Updates Added options for printing progress of simulation and for cleanly exiting simulation. Documented optional execution flags. Updated input files. v. 0.1.2 Updates Updated new flags for effective resistance (effective_resistance), convergence factor (converge_at), and shuffle node pairs (shuffle_node_pairs)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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