"Scenario 1, Scenario 2, Scenario 3",,,,,,,,
Side,"1 indicates mentees, 0 indicates mentors",,,,,,,
ID,unique ID per user,,,,,,,
Ranking 1,first choice of user (preference rank 1),,,,,,,
Ranking 2,second choice of user (preference rank 2),,,,,,,
Ranking 3,third choice of user (preference rank 3),,,,,,,
Ranking 4,fourth choice of user (preference rank 4),,,,,,,
Ranking 5,fifth choice of user (preference rank 5),,,,,,,
,,,,,,,,
Summary Statistics,,,,,,,,
Overview Unmanipulated,,,,,,,,
algorithm,"Solution algorithm used for calculating the final solution. One of CPLEX, DA, McDermid, GSModified, Kiraly, GATA-Mixed",,,,,,,
scenario,"Considered scenario, either 1, 2, or 3",,,,,,,
numMentees,The number of mentees in the given scenario,,,,,,,
numMentors,The number of mentors in the given scenario,,,,,,,
mean_numMatches,Average cardinality (number of matches) for the given scenario and overall parameters,,,,,,,
sd_numMatches,Standard deviation of the cardinality (number of matches) for the given scenario and overall parameters,,,,,,,
mean_relativeMatches,Average cardinality compared to optimal cardinality as calculated by the CPLEX algorithm,,,,,,,
sd_relativeMatches,Standard deviation of the cardinality compared to optimal cardinality as calculated by the CPLEX algorithm,,,,,,,
mean_welfare,Average overall Welfare of the solution,,,,,,,
sd_welfare,Standard Deviation of the overall Welfare,,,,,,,
mean_fairness,Average overall Fairness of the solution,,,,,,,
sd_fairness,Standard Deviation of the overall Fairness,,,,,,,
mean_menteeWelfare,Average mentee Welfare of the solution,,,,,,,
sd_menteeWelfare,Standard Deviation of the mentee Welfare,,,,,,,
mean_mentorWelfare,Average mentor Welfare of the solution,,,,,,,
sd_mentorWelfare,Standard Deviation of the mentor Welfare,,,,,,,
Overview Manipulated,,,,,,,,
algorithm,"Solution algorithm used for calculating the final solution. One of CPLEX, DA, McDermid, GSModified, Kiraly, GATA-Mixed",,,,,,,
scenario,"Considered scenario, either 1, 2, or 3",,,,,,,
numMentees,The number of mentees in the given scenario,,,,,,,
numMentors,The number of mentors in the given scenario,,,,,,,
manipulationType,Type of manipulation strategy. NA indicates unmanipulated outcomes / no manipulation.,,,,,,,
percManipulation,Percentage of manipulating users in the solution.,,,,,,,
gainManipulation,Absolute gain of manipulating users measured in gained preference ranks,,,,,,,
gainNonManipulation,Absolute gain of non-manipulating users measured in gained preference ranks,,,,,,,
numberUsersGaining,Number of manipulating users who actually are better off from manipulation ,,,,,,,
percentageGainManipulation,Relative gain of manipulating users as percentage increase or decrease compared to their ranking in the unmanipulated case,,,,,,,
percentageGainNonmanipulation,Relative gain of non-manipulating users as percentage increase or decrease compared to their ranking in the unmanipulated case,,,,,,,
probabilitySuccessfulManipulation,Probability that a manipulating users is better off / gains from manipulation,,,,,,,
stabilityScoreManipulated,"The number of blocking pairs of the solution calculated with the manipulated preferences, when using the unmanipulated preferences to evaluate stability. I.e., are the solutions found when users manipulate still stable under the true preferences? 0 indicates a stable solution.",,,,,,,
,,,,,,,,
Matching Tables (see public data repository),,,,,,,,
algorithm,"Solution algorithm used for calculating the final solution. One of CPLEX, DA, McDermid, GSModified, Kiraly, GATA-Mixed",,,,,,,
numMentees,The number of mentees in the given scenario,,,,,,,
numMentors,The number of mentors in the given scenario,,,,,,,
percManipulation,Percentage of manipulating users in the solution.,,,,,,,
degreeManipulation,Degree k of manipulation,,,,,,,
repetition,"Repetition ID, i.e., number between 1 and 100 to indicate which simulation repetition run the result is coming from",,,,,,,
manipulationType,Type of manipulation strategy. NA indicates unmanipulated outcomes / no manipulation.,,,,,,,
matchingTable,"Matching Tables as mentee-mentor ID pairs, separated by ;",,,,,,,
,,,,,,,,
Preferences (see public data repository),,numMentors,percManipulation,degreeManipulation,repetition,manipulated,manipulationType,preferences
algorithm,"Solution algorithm used for calculating the final solution. One of CPLEX, DA, McDermid, GSModified, Kiraly, GATA-Mixed",,,,,,,
numMentees,The number of mentees in the given scenario,,,,,,,
numMentors,The number of mentors in the given scenario,,,,,,,
percManipulation,Percentage of manipulating users in the solution.,,,,,,,
degreeManipulation,Degree k of manipulation,,,,,,,
repetition,"Repetition ID, i.e., number between 1 and 100 to indicate which simulation repetition run the result is coming from",,,,,,,
manipulationType,Type of manipulation strategy. NA indicates unmanipulated preferences / no manipulation.,,,,,,,
manipulated,Indicator (0 or 1) if reported preferences are true preferences (0) or manipulated (1),,,,,,,
preferences,"Preferences by users reported as ""UserID1: indifference group 1 - indifference group 2 - …; UserID2: ...""",,,,,,,