Method and system for analyzing performance of crowdsourcing systems

A system for determining one or more strategies in crowdsourcing, the system comprising:

• one or more microprocessors configured to:
• generate one or more first graphs representative of at least one of an association between one or more workers, between one or more crowdsourcing tasks, or between said one or more workers and said one or more crowdsourcing tasks, at a first time instance;
• determine values of one or more metrics associated with said one or more first graphs;
• compare said determined values of said one or more metrics and one or more threshold values of said one or more metrics;
• generate, one or more second graphs based on said comparison, wherein said one or more second graphs are representative of at least one of said association between said one or more workers, between said one or more crowdsourcing tasks, or between said one or more workers and said one or more crowdsourcing tasks, at a second time instance, wherein said second time instance precedes said first time instance;
• determine said one or more strategies based on said one or more second graphs, wherein said one or more strategies comprise at least one of:
• a recommendation to a first set of workers, from said one or more workers, for attempting a first set of crowdsourcing tasks, from said one or more crowdsourcing tasks, or
• a recommendation to said first set of workers for increasing interaction with a second set of workers;
• and
• display said one or more strategies to a user through a user interface.

A computer program product for use with a computer, the computer program product comprising a non-transitory computer readable medium, wherein the non-transitory computer readable medium stores a computer program code for determining one or more strategies in crowdsourcing, wherein the computer program code is executable by one or more microprocessors to:

• generate, by one or more microprocessors, one or more first graphs representative of at least one of an association between one or more workers, between one or more crowdsourcing tasks, or between said one or more workers and said one or more crowdsourcing tasks, at a first time instance;
• determine, by said one or more microprocessors, values of one or more metrics associated with said one or more first graphs;
• compare, by said one or more microprocessors, said determined values of said one or more metrics and one or more threshold values of said one or more metrics;
• generate, by said one or more microprocessors, one or more second graphs based on said comparison, wherein said one or more second graphs are representative of at least one of said association between said one or more workers, between said one or more crowdsourcing tasks, or between said one or more workers and said one or more crowdsourcing tasks, at a second time instance, wherein said second time instance precedes said first time instance;
• determine, by said one or more microprocessors, said one or more strategies based on said one or more second graphs, wherein said one or more strategies comprise at least one of:
• a recommendation to a first set of workers, from said one or more workers, for attempting a first set of crowdsourcing tasks, from said one or more crowdsourcing tasks, or
• a recommendation to said first set of workers for increasing interaction with a second set of workers;
• and
• display, by a display screen, said one or more strategies to a user through a user interface.