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| 1 | +declining_fashion <- function(expo, cumadopt, time) { |
| 2 | + |
| 3 | + # Number of behaviors |
| 4 | + num_of_behaviors <- dim(cumadopt)[3] |
| 5 | + |
| 6 | + # Number of nodes |
| 7 | + num_of_nodes <- dim(cumadopt)[1] |
| 8 | + |
| 9 | + # Making room for the disadopted nodes |
| 10 | + list_disadopt <- list() |
| 11 | + |
| 12 | + sigmoide <- function(x, midpoint = 4, steepness = 1) { |
| 13 | + 1 / (1 + exp(-steepness * (x - midpoint))) |
| 14 | + } |
| 15 | + |
| 16 | + # We iterate through the behaviors |
| 17 | + for (q in 1:num_of_behaviors) { |
| 18 | + |
| 19 | + # Cumulative adoption matrix for behavior Q |
| 20 | + cumadopt_q <- cumadopt[, , q] |
| 21 | + |
| 22 | + # Calculating the total time of adoption |
| 23 | + cumulative_time <- sapply(seq_len(num_of_nodes), function(i) { |
| 24 | + |
| 25 | + if (any(cumadopt_q[i, ] == 1)) { |
| 26 | + |
| 27 | + # Length of the vector from the first adoption to the currect |
| 28 | + length(seq(which(cumadopt_q[i, ] == 1)[1], time)) |
| 29 | + |
| 30 | + } else { |
| 31 | + |
| 32 | + 0 |
| 33 | + } |
| 34 | + }) |
| 35 | + |
| 36 | + # Looking the adopters |
| 37 | + adopters_q <- which(cumadopt[, time, q] == 1) |
| 38 | + |
| 39 | + # Calculating probability of disadoption based on cumulative_time |
| 40 | + prob_dis <- rep(0, num_of_nodes) |
| 41 | + prob_dis[adopters_q] <- sigmoide(cumulative_time[adopters_q], midpoint = 4, steepness = 1) |
| 42 | + |
| 43 | + # We select 2 nodes based on prob_dis |
| 44 | + disadopters_q <- sample(seq_len(num_of_nodes), size = 2, prob = prob_dis) |
| 45 | + |
| 46 | + # Adding disadopters_q to list_disadopt |
| 47 | + if (length(disadopters_q) != 0){ |
| 48 | + set.seed(123) |
| 49 | + list_disadopt[[q]] <- disadopters_q |
| 50 | + } else { |
| 51 | + list_disadopt[[q]] <- integer() |
| 52 | + } |
| 53 | + } |
| 54 | + |
| 55 | + return(list_disadopt) |
| 56 | +} |
| 57 | + |
| 58 | + |
| 59 | +set.seed(1231) |
| 60 | + |
| 61 | +n <- 200 |
| 62 | +t <- 10 |
| 63 | + |
| 64 | +diffnet_7 <- rdiffnet( |
| 65 | + n, t, |
| 66 | + seed.p.adopt = list(0.1, 0.15), |
| 67 | + disadopt = declining_fashion |
| 68 | +) |
| 69 | + |
| 70 | +diffnet_7 |
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