WebbSIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model Amit Goyal, Wei Lu, Laks V. S. Lakshmanan University of British Columbia … Webb11 dec. 2011 · SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model. Pages 211–220. Previous Chapter Next Chapter. ABSTRACT. There is significant current interest in the problem of influence maximization: given a directed social network with influence weights on edges and a number k, find k seed …
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Webb9 feb. 2024 · 1 Answer Sorted by: 0 Staying close to your code, I came up with this. Intuitively, if you think about it, the probability should be rather low due to the parameters and I get a probability of about 6.7% which is roughly what I get if I run your code with the parameters from the assignment. WebbHi Anna, please try to set the PATH before you execute cmake. export PATH=$SIMPATH/bin:$PATH. should do the trick. Ciao. Florian WebbTechniques benchmarked The 11 representative techniques evaluated in this study are : CELF, CELF++, TIM, IMM, PMC, StaticGreedy, LDAG , SIMPATH, EaSyIM, IRIE and IMRank. All these techniques were benchamrked over the classical models of information diffusion, namely -- Independent Cascade (IC), Weighted Cascade (WC) and Linear Threshold (LT). flower garden videos youtube