1. A method for determining reputation values comprising: on a server system having one or more processors and memory storing one or more programs for execution by the one or more processors, performing the steps comprising: until a convergence condition is satisfied: iteratively solving a reputation function for a set of reputation values with respect to a set of linked nodes, the nodes including first nodes representing reviewers and second nodes representing reviews, wherein at each iteration, the reputation values of the reviewers are updated in accordance with reputation values of one or more of the reviews and the reputation values of the reviews are updated in accordance with reputation values of one or more of the reviewers; determining whether a stability condition is satisfied, wherein the stability condition is satisfied when an absolute difference between a current value of the set of reputation values and a previous value of the set of reputation values is less than a predetermined convergence value; modifying the reputation function so as to remove from the reputation function portions of the reputation function corresponding to nodes with negative reputation when the stability condition is satisfied; and generating reputation values for at least the reviewers and reviews corresponding to nodes that have not been removed from the reputation function.
1. A method for determining reputation values comprising: on a server system having one or more processors and memory storing one or more programs for execution by the one or more processors, performing the steps comprising: until a convergence condition is satisfied: iteratively solving a reputation function for a set of reputation values with respect to a set of linked nodes, the nodes including first nodes representing reviewers and second nodes representing reviews, wherein at each iteration, the reputation values of the reviewers are updated in accordance with reputation values of one or more of the reviews and the reputation values of the reviews are updated in accordance with reputation values of one or more of the reviewers; determining whether a stability condition is satisfied, wherein the stability condition is satisfied when an absolute difference between a current value of the set of reputation values and a previous value of the set of reputation values is less than a predetermined convergence value; modifying the reputation function so as to remove from the reputation function portions of the reputation function corresponding to nodes with negative reputation when the stability condition is satisfied; and generating reputation values for at least the reviewers and reviews corresponding to nodes that have not been removed from the reputation function. 23. The method of claim 1 , wherein iteratively solving a reputation function comprises iteratively solving the reputation function for a vector of reputation values with respect to a matrix of linked nodes, the nodes including first nodes representing reviewers and second nodes representing reviews, wherein at each iteration, the matrix is multiplied by the vector such that the reputation values of the reviewers are updated in accordance with reputation values of one or more of the reviews and the reputation values of the reviews are updated in accordance with reputation values of one or more of the reviewers; and modifying the reputation function comprises modifying the reputation function so as to remove from the matrix nodes with negative reputation when the stability condition is satisfied.