yishilin14 / boostinginformationspread

BoostingInformationSpread - Source codes of BoostingInformationSpread (ICDE'17)

Boosting Information Spread

Implementations of Boosting information spread: An algorithmic approach. For more details about PRR-Boost and PRR-Boost, please refer to our paper:

Yishi Lin, Wei Chen, John C.S. Lui. Boosting information spread: An algorithmic approach. (ICDE'17)

Compile

Use the `make' command to compile everything.

How to use

• Please refer to run.sh for examples (e.g., parameters, output log files).

Input format of graphs

• An example: 'datasets/digg_learn/graph_ic_nm.inf'
• The first line contains the number of nodes n and the number of edges m. Each of the remaining m lines contains three values u, v and p meaning that the influence probability from u to v is p (Independent Cascade model).

Input format of seeds

• An example: 'datasets/digg_learn/seeds50.txt'
• Each line contains a seed node.

Output format of log files

PRR-Boost

The first log file of ./bin/prrboost contains the following information.

• Columns 1-7: dataset, # nodes, # edges, # seeds, beta, k, epsilon
• Columns 13-15: the average number of edges, uncompressed nodes and uncompressed edges of boostable PRR-graphs
• Columns 24-27: running time, memory usage, boost of influence spread, initial memory usage before generating PRR-graphs

The second log file of ./bin/prrboost contains information about parameters (first seven columns) and the name of a file containing data used to plot Figures such as Figure 6 and Figure 8 in the paper (lower bound, boosted influence, and their ratios).

PRR-Boost-LB

Log file of ./bin/prrboost_lb:

• Columns 1-7: dataset, # nodes, # edges, # seeds, beta, k, epsilon
• Columns 24-27: running time, memory usage, boost of influence spread, initial memory usage before generating PRR-graphs

Heirustic methods

Log file of ./bin/heu:

• Columns 1-4: dataset, # seeds, beta, k
• Columns 5-13: HighDegreeGlobalOut, HighDegreeLocalOut, HighDegreeGlobalOutDiscount, HighDegreeLocalOutDiscount, HighDegreeGlobalIn, HighDegreeLocalIn, HighDegreeGlobalInDiscount, HighDegreeLocalInDiscount, PageRank

Log file of ./bin/moreseeds:

• Columns 1-7: dataset, # nodes, # edges, # seeds, beta, k, epsilon
• Columns 11-13: boost of influence spread, running time, memory usage