Results Visualization

plot_utils: sources files for generating plots (R with ggplot2 is required).

Explanation of Result Files Generated

Only AllResults.txt and curve_c(50).txt are used for plotting.
AllResults.txt:
The first line "Hyper-graph time: 1396278" means building the hyper graph takes 1396278ms.

B=10
IM: 45023.54 6252.5048907138 1403641.2 0.611411976377969
UC: 46404.13 8963.0942677794 1571590.8
CD: 49944.56 7517.24278751192 1585022.4

The above lists results of each algorithm when the budget B=10. For each line, the first number and the second number are influence spread and standard deviation of influence spread estimated by Monte Carlo simulations. The third number is the time costed by the algorithm (in ms). For IM, the fourth number is the approximation lower bound.
B=10.txt:
"IM 1403641.2 10" means running the influence maximization algorithm takes 1403641.2ms and the algorithm returns 10 users that we should assign non-zero discounts to. Then the follwing 10 lines are like "25084 1 1", which means we should assign 100% (the second number) to user 25084 and the probability user 25084 becomes a seed is 1(the third number).
curve_c(50).txt:
"0.05 55516.4029581446" means when the unified discount is 0.05, the best influence spread returned by the Unified Discount algorithm is 55516.4029581446.

Each .R file is self-explained by its name for generating plots that we used in the paper.

Basically,

Change the location variable in .R file to the result data.
Run the .R file (RStudio is recommended), and follow the prompts in the console.
Sometimes, you need change the y axis scale accordingly to get better rendering plots.
```
scale_y_continuous(limits=c(lower_limit, upper_limit))
```

Figure 3: Influence Spread
Data can be found in AllResults.txt
Figure 4: Approximation Lower Bound
Data can be found in AllResults.txt
Figure 5: Influence Spread w.r.t. unified discount c
Data can be found in curve_c(50).txt
Table 3: Effect of the parameter search step in calculating the best unified discount c.
Figure 6: Running time
Data can be found in AllResults.txt
Table 4: Sensitivity to user purchase probability curves.