A computer-implemented method for visualizing a plurality of students of an educational institution as a plurality of strong leaders, a plurality of leaders, a plurality of mentors, and a plurality of dependable students using a structural representation of said educational institution in the form of a university model graph comprising a plurality of assessments and a plurality of influence values based on a university model graph (UMG) database and said plurality of students of said educational institution,
- said method performed on a computer system comprising at least one processor, one or more memory units, and one or more network interfaces for connecting said computer system to an Internet Protocol (IP) network, said method comprising the steps of:
- determining, with at least one processor, a first student (S) of said plurality of students;
- determining, with at least one processor, an analysis period (AP);
- determining, with at least one processor, a plurality of analysis sub-periods based on said AP;
- computing, with at least one processor, a number of analysis sub-periods (NT) based on said plurality of analysis sub-periods;
- determining, with at least one processor, a positively influenced student set of a plurality of positively influenced student sets based on said plurality of students, said S, an analysis sub-period of said plurality of analysis sub-periods, said plurality of influence values, and said UMG database;
- computing, with at least one processor, a plurality of all set positively influenced students, wherein a student of said plurality of all set positively influenced students is part of said plurality of students and a member of a positively influenced student set of said plurality of positively influenced student sets;
- computing, with at least one processor, a number of students (Sn) in said plurality of all set positively influenced students;
- computing, with at least one processor, a number of sets (N) in said plurality of positively influenced student sets;
- computing, with at least one processor, a follow quotient (FQ) of said S based on said plurality of positively influenced student sets;
- computing, with at least one processor, a sustain quotient (SO) of said S based on said plurality of positively influenced student sets;
- making, with at least one processor, said S a part of said plurality of strong leaders, wherein said FQ exceeds a first pre-defined threshold (alpha1) and said SQ exceeds said alpha1;
- making, with at least one processor, said S a part of said plurality of leaders, wherein said FQ exceeds said alpha1 or said SQ exceeds said alpha1;
- computing, with at least one processor, a mentee count based on said plurality all set positively influenced students and said plurality of positively influenced student sets;
- making, with at least one processor, said S a part of said plurality of mentors, wherein said mentee count exceeds said Sn* a second pre-defined threshold (beta1);
- computing, with at least one processor, a dependability count based on said plurality all set positively influenced students and said plurality of positively influenced student sets;
- and
- making, with at least one processor, said S a part of said plurality of dependable students, wherein said dependability count exceeds said Sn* a third pre-defined threshold (gamma3).