PkSM3 / Phylum

Large-scale Phylomemies

• 50_PeriodSlicing.sh : 1) Calcule networks per each timeperiod
  • PARAMETERS:
    • inputDB : DATA/ACM-DL/ACM-DL_2016.sqlite
    • aggregation : we could consider periods of 1 year or several years.
    • from: yearA
    • to : yearB
    • min_occurrences : 1
    • min_cooccurrences : 1
    • outputfolder : test00
• 70_TemporalComparison.sh : 2) it'll use the metainformation generated by the previous experiment in order to achieve the phylomemies in this second step.
  • PARAMETERS:
    • inputfolder : test00
    • k : we'll consider only clusters with at least k-elements inside them. We use percolated k-cliques for the moment.

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Usage

Executing 50_PeriodSlicing.sh:

# Experiment example with these parameters:
#    inputDB:"DATA/ACM-DL/ACM-DL_2016.sqlite"   
#    periodsize:1  
#    from:1970  
#    to:1990  
#    minoccs:2  
#    mincooccs:1  
#    output:"experiments/test00" 
        
$  ./50_PeriodSlicing.sh  "DATA/ACM-DL/ACM-DL_2016.sqlite"  1  1970  1990  2  1  "experiments/test00"

when PeriodSlicing is finished, we should start the next script:

Executing 70_TemporalComparison.sh:

# Experiment example with these parameters:
#    inputfolder:"experiments/test00"
#    k:11  
    
$  ./70_TemporalComparison  "experiments/test00"  11

The links between temporal-clusters will be inside "experiments/test00/cliques/"