Top row corresponds to the run-times in seconds of different methods in scenario (S1) and scenario (S2). Bottom row corresponds to the run-times in scenario (S3) and scenario (S4). For the x-axis λ1 is varied from low to high generating increasingly sparser networks. For each value of λ1, the average run-time over three values of λ2 is reported.</p
(A) The clustering runtime vs. the number of cells in the simulated datasets for all four methods. (...
Each line shows the ratio of total run times of standard simulations to those of simulations with pe...
<p>Simulations were run for three different scenarios: CoCoMac brain (top), small-world network (mid...
<p>Each value is the average time in seconds for 10 independent runs.</p><p>Comparison of the comput...
<p>Comparison graph of simulation time that used in SBR and MRLMA methods for scenario 1–3.</p
<p>The simulation results for 3,600 randomly generated Boolean networks (BN) with maximum indegree <...
Comparison of running times in seconds and influence spread in number of nodes for different values ...
<p>Computation Time in the stages of: (a) scaled down data clustering, (b) extend to all data cluste...
We ran the runserosim function 100 times and report the mean run times under various simulation sett...
<p>The computation times (unit in second) averaging over scenarios having with the same numbers of c...
Fig 4 shows the execution time for computing approximation values and performing simulation runs. α ...
<p>The figure shows the runtimes of the tested algorithms, at different percentages of the study cas...
We show results for the following networks: WikiVote; NetHEPT; Epinions; Email-EuAll. Each plot depi...
<p>Each value of running time is the cumulative time for 100 implementations.</p
The comparison of the average running time of the examined methods for 150 experiments executed for ...
(A) The clustering runtime vs. the number of cells in the simulated datasets for all four methods. (...
Each line shows the ratio of total run times of standard simulations to those of simulations with pe...
<p>Simulations were run for three different scenarios: CoCoMac brain (top), small-world network (mid...
<p>Each value is the average time in seconds for 10 independent runs.</p><p>Comparison of the comput...
<p>Comparison graph of simulation time that used in SBR and MRLMA methods for scenario 1–3.</p
<p>The simulation results for 3,600 randomly generated Boolean networks (BN) with maximum indegree <...
Comparison of running times in seconds and influence spread in number of nodes for different values ...
<p>Computation Time in the stages of: (a) scaled down data clustering, (b) extend to all data cluste...
We ran the runserosim function 100 times and report the mean run times under various simulation sett...
<p>The computation times (unit in second) averaging over scenarios having with the same numbers of c...
Fig 4 shows the execution time for computing approximation values and performing simulation runs. α ...
<p>The figure shows the runtimes of the tested algorithms, at different percentages of the study cas...
We show results for the following networks: WikiVote; NetHEPT; Epinions; Email-EuAll. Each plot depi...
<p>Each value of running time is the cumulative time for 100 implementations.</p
The comparison of the average running time of the examined methods for 150 experiments executed for ...
(A) The clustering runtime vs. the number of cells in the simulated datasets for all four methods. (...
Each line shows the ratio of total run times of standard simulations to those of simulations with pe...
<p>Simulations were run for three different scenarios: CoCoMac brain (top), small-world network (mid...