The ACE Ascent Program forms mathematics teacher leaders for Catholic schools in order to improve students' academic achievement, increase the quality and quantity of collaboration within and across schools, and deepen school community members spiritual life and commitment to their vocation in Catholic education.
How To Use
Hover over nodes to show more information.
Use the Select by role button to highlight only nodes of a specific role.
Use your mouse or the green buttons on the plot to zoom in and out and refocus.
A network's Degree Centrality reflects to what extent there are a small number of highly connected nodes. Since the baseline network created has disconnected nodes (e.g. nodes where it is impossible to traverse to other nodes by edges alone), Harmonic Centrality is used to estimate how close central nodes are to other nodes on average. Harmonic centrality is the mean inverse distance between all nodes where the distance between unreachable nodes is considered to be 0. Betweeness Centrality measures how much a node is acts as a bridge to other nodes. Each centrality measure when normalized can range from 0 (where all nodes have equal centrality) to 1 (one node has maximal centrality and every other node is minimally central).
The ACE Ascent Program forms mathematics teacher leaders for Catholic schools in order to improve students' academic achievement, increase the quality and quantity of collaboration within and across schools, and deepen school community members spiritual life and commitment to their vocation in Catholic education.
How To Use
Hover over nodes to show more information.
Use the Select by role button to highlight only nodes of a specific role.
Use your mouse or the green buttons on the plot to zoom in and out and refocus.